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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details


Register CE_03C
Sat, 7/28/2018, 8:30 AM - 5:00 PM CC-East 8
Joint Modeling of Longitudinal and Time-to-Event Data (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Robert Elashoff, UCLA; Gang Li, UCLA; Ning Li, UCLA
Longitudinal analysis and time-to-event data analysis are among the fastest expanding areas of statistics and biostatistics in the past three decades. In recent years, these two seemingly different areas of statistics have crossed with the rapidly growing interest in development of joint models for longitudinal and time-to-event data to address challenging issues that cannot be properly handled using standard methods within each area. This course aims to a give a systematic introduction and review of state-of-the-art statistical methodology developed in recent years for joint models. We will provide motivating examples and an overview of statistical modeling and concepts that are fundamental to understand joint models, discuss several main areas in which joint models have been developed to address important scientific questions and issues, including non-ignorable missing data in longitudinal analysis, event time models with intermittently measured time-dependent covariates, longitudinal studies with informative observation times, joint models for competing risks event times, and some further topics. The last section will give the audience hands-on experience of analyzing data using joint models. Examples will be illustrated by computer programs in R. The course concludes with a self-practice session.
8:30 AM Joint Modeling of Longitudinal and Time-to-Event Data (ADDED FEE)
Gang Li, UCLA; Robert Elashoff, UCLA; Ning Li, UCLA
 
 

Register CE_09C
Sun, 7/29/2018, 8:30 AM - 5:00 PM CC-East 8
Regression Modeling Strategies (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Frank Harrell, Vanderbilt University, Dept of Biostatistics
All standard regression models have assumptions that must be verified for the model to have power to test hypotheses and for it to be able to predict accurately. Of the principal assumptions (linearity, additivity, distributional), this course will emphasize methods for assessing and satisfying the first two. Practical but powerful tools are presented for validating model assumptions and presenting model results. This course provides methods for estimating the shape of the relationship between predictors and response using the widely applicable method of augmenting the design matrix using restricted cubic splines. Even when assumptions are satisfied, over-fitting can ruin a model's predictive ability for future observations. Methods for data reduction will be introduced to deal with the common case where the number of potential predictors is large in com­parison with the number of observations. Methods of model validation (bootstrap and cross-validation) will be covered, as will auxiliary topics such as modeling interaction surfaces, variable selection, overly influential observations, collinearity, and shrinkage, and a brief introduction to the R rms package for handling these problems. The methods covered will apply to almost any regression model, including ordinary least squares, logis­tic regression models, ordinal regression, quantile regression, longitudinal data analysis, and survival models.
8:30 AM Regression Modeling Strategies (ADDED FEE)
Frank Harrell, Vanderbilt University, Dept of Biostatistics
 
 

6 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 121
Recent Advance of Nonparametric and Semiparametric Techniques with Complex Data Structure — Invited Papers
Section on Nonparametric Statistics, ENAR, Biometrics Section, SSC
Organizer(s): Jiwei Zhao, State University of New York At Buffalo
Chair(s): Jiwei Zhao, State University of New York At Buffalo
2:05 PM Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
Presentation
Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:25 PM Quantile-Optimal Treatment Regimes
Lan Wang, University of Minnesota; Yu Zhou, University of Minnesota; Rui Song, North Carolina State University; Ben Sherwood, University of Kansas
2:45 PM Semiparametric Theory for Causal Inference with Negative Controls
Presentation
Xu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania
3:05 PM A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse
Presentation
Jae-kwang Kim, Iowa State University; Kosuke Morikawa, Osaka University ; Hejian Sang, Iowa State University
3:25 PM Optimal Pseudolikelihood Estimation in Multivariate Missing Data with Nonignorable Nonresponse
Presentation
Jiwei Zhao, State University of New York At Buffalo; Yanyuan Ma, Penn State University
3:45 PM Floor Discussion
 
 

7 !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 110
Bayesian Nonparametrics in Causal Inference — Invited Papers
Section on Bayesian Statistical Science, Biometrics Section, ENAR
Organizer(s): Chanmin Kim, Boston University School of Public Health
Chair(s): Leah Comment, Harvard T.H. Chan School of Public Health
2:05 PM A Bayesian Nonparametric Approach for Causal Inference with Semi-Competing Risks
Presentation
Michael Daniels, University of Florida; Peter Müller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Daniel Scharfstein, Johns Hopkins University
2:25 PM Regularization and Aliasing in the Estimation of Treatment Effect Moderation
Presentation
Paul Richard Hahn, Arizona State University ; Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin
2:45 PM Bayesian Population Finding Using Counterfactual Modeling of Responses
Presentation
Peter Müller, University of Texas Austin; Satoshi Morita, Kyoto University
3:05 PM Causal Inference for Outcomes Partially Identified by Longitudinal Laboratory Measures from EHRs
Presentation
Jason Roy, University of Pennsylvania; Bret Zeldow, University of Pennslyvania
3:25 PM Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Air Pollution
Chanmin Kim, Boston University School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Jason Roy, University of Pennsylvania; Michael Daniels, University of Florida
3:45 PM Floor Discussion
 
 

16 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 118
Big Data Detectives: Improving Human Health Through Informing Policy — Invited Panel
Health Policy Statistics Section, Biopharmaceutical Section, Biometrics Section
Organizer(s): Sherri Rose, Harvard Medical School
Chair(s): Ani Eloyan, Brown University
2:05 PM Big Data Detectives: Improving Human Health Through Informing Policy
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists: Kristin Linn, University of Pennsylvania
Laura Hatfield, Harvard Medical School
Julian Wolfson, University of Minnesota
Sherri Rose, Harvard Medical School
3:40 PM Floor Discussion
 
 

18 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 215/216
Survival Analysis Developments for Improving Medical Decision Making — Topic Contributed Papers
ENAR, Biometrics Section, Lifetime Data Analysis Interest Group
Organizer(s): Xuelin Huang, University of Texas MD Anderson Cancer Center
Chair(s): Yayuan Zhu, University of Texas MD Anderson Cancer Center
2:05 PM Time-Dependent Covariates in Recurrent Event Models
Xianghua Luo, University of Minnesota, School of Public Health; Tianmeng Lyu, University of Minnesota; Yifei Sun, Columbia University; Chiung-Yu Huang, University of California at San Francisco
2:25 PM Optimal Timing of Stem Cell Transplant for Leukemia Patients
Xuelin Huang, University of Texas MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health; Jorge Cortes, University of Texas MD Anderson Cancer Center
2:45 PM Joint Modeling of Multiple Time-To-Event Outcomes
Presentation
Shanshan Zhao, National Institute of Environmental Health Sciences; Ross Prentice, Fred Hutchinson Cancer Research Center
3:05 PM Optimal Multiple Confidence Regions
Presentation
Edsel Pena, University of South Carolina; Taeho Kim, University of South Carolina
3:25 PM Semiparametric Regression Methods for Temporal Processes Subject to Multiple Sources of Censoring
Presentation
Douglas E. Schaubel, University of Michigan, Ann Arbor; Tianyu Zhan, AbbVie Inc.
3:45 PM Floor Discussion
 
 

20 *
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 214
Statistical Considerations for Using Historical Controls in Clinical Trials — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section
Organizer(s): Yeh-Fong Chen, US FDA
Chair(s): George Kordzakhia, US FDA
2:05 PM Using Historical Controls in CNS Clinical Trials
Xiang Ling, FDA/CDER/OTS/OB; Kun Jin, FDA; Hsien-Ming James Hung, PhD, Food and Drug Administration
2:25 PM Designing Trials Using Bayesian Methods with Historical Controls
Michael Sonksen, Eli Lilly and Company
2:45 PM Advancing Methodologies for Clinical Trials Using Historical Control
Presentation
Min Min, U.S. Food and Drug Administration, CDER/OTS/OB; Yeh-Fong Chen, US FDA
3:05 PM Use of Real-World in Clinical Drug Development
Presentation
Xiuyu Julie Cong, Boehringer Ingelheim Pharmaceuticals Inc; Susan Wang, Boehringer Ingelheim Pharmaceuticals Inc.
3:25 PM Discussant: Aloka Chakravarty, Office of Biostatistics of CDER/FDA
3:45 PM Floor Discussion
 
 

21 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 217
Spatial and Spatio-Temporal Statistics for Biomedical and Epidemiological Studies — Topic Contributed Papers
Biometrics Section
Organizer(s): Jun Zhu, University of Wisconsin - Madison
Chair(s): Junho Lee, King Abdullah University of Science and Technology
2:05 PM Cluster-Temporal Models for Disease Surveillance with an Application to Dengue Fever Infection in Taiwan
Presentation
Pei-Sheng Lin
2:25 PM Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:45 PM Interacting Cluster Point Process Model for Epidermal Nerve Fibers
Guilherme Ludwig, University of Campinas; Nancy Lopes Garcia, University of Campinas; Peter Guttorp, University of Washington / Norwegian Computing Center
3:05 PM Spatially Varying Coefficient Models for Point Pattern Analysis with Large Data Sets
Presentation
Huiyan Sang, Texas A&M University
3:25 PM Semiparametric Regression Methods for Spatial and Spatio-Temporal Data with Application to Fine Particulate Matter (PM2.5) Studies
Presentation
Lily Wang, Iowa State University; Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary
3:45 PM Floor Discussion
 
 

27
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 213
SPEED: Survival Analysis — Contributed Speed
Biometrics Section, Section on Statistics in Epidemiology, Section on Risk Analysis
Chair(s): Xiaoxuan Cai, Yale University
Poster Presentations for this session.
2:05 PM Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2:10 PM A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Presentation
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
2:15 PM Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Presentation
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
2:25 PM Dependence Modeling for Recurrent Event Times Subject to Right-Censoring with D-Vine Copulas
Presentation
Nicole Barthel, Technical University Munich; Candida Geerdens, Hasselt University; Claudia Czado, Technical University Munich; Paul Janssen, Hasselt University
2:30 PM Flexible and Interpretable Models for Survival Data
Presentation
Jiacheng Wu, Univesity of Washington; Daniela Witten, University of Washington
2:35 PM Estimation in the Nested Case-Control Design Under Model Misspecification
Presentation
Michelle Nuno; Daniel L. Gillen, University of California, Irvine
2:45 PM Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
2:50 PM An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints
Presentation
Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
3:00 PM Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
3:05 PM Competing Risks Matter in the Analysis of Public Health Data: When and How?
Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
3:15 PM Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
3:20 PM Semiparametric Regression Analysis of Length-Biased Interval-Censored Data
Fei Gao, University of Washington; Kwun Chuen Gary Chan, University of Washington
3:25 PM Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time
Presentation
Milind A Phadnis, University of Kansas Medical Center
3:35 PM Regression Analysis of Recurrent Event Data with Measurement Error
Presentation
Yixin Ren, University of Maryland, College Park; Xin He, University of Maryland, College Park
3:40 PM Monitoring Rare Events During an Ongoing Clinical Trial
Presentation
Haley Hedlin, Stanford University; Victoria Ding, Quantitative Sciences Unit, Stanford School of Medicine
3:45 PM Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
 
 

29
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 212
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Speed
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul Little, UNC Chapel Hill
Poster Presentations for this session.
2:05 PM Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:10 PM On Using Gene Genealogies to Find Trait-Influencing Variants
Presentation
Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
2:15 PM A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
Presentation
An-Shun Tai, National Tsing Hua University
2:20 PM A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
2:25 PM A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Presentation
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
2:30 PM Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data
Presentation
Anna Reisetter
2:35 PM An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis
Presentation
Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
2:40 PM MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Presentation
Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
2:45 PM A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship
Presentation
Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
2:50 PM A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing
Presentation
Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
3:00 PM P-Value Estimation for the Risk Score of a Prediction Model
Presentation
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
3:05 PM Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Presentation
Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
3:10 PM Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Presentation
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:15 PM An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Presentation
Corbin Quick, University of Michigan
3:25 PM Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Presentation
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
3:30 PM Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Presentation
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:35 PM Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Presentation
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:40 PM Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
3:45 PM A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Presentation
Yidan Sun
 
 

31 *
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 218
Categorical Data — Contributed Papers
Biometrics Section
Chair(s): Rhonda Bacher, University of Florida
2:05 PM A Goodness-of-Fit Test for the Ordered Stereotype Model
Daniel Fernandez-Martinez, Victoria University of Wellington; Ivy Liu, Victoria University of Wellington
2:20 PM Bias and Estimation Under Misspecification of the Risk Period in Self-Controlled Case Series Studies
Presentation
Danh Nguyen, University of California At Irvine; Luis Fernando Campos, Harvard University; Yanjun Chen, UC Irvine; Damla Senturk, UCLA, Dept. of Biostatistics
2:35 PM Introducing A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Categorical Data
Presentation
Darcy Steeg Morris, U.S. Census Bureau; Kimberly F Sellers, Georgetown University; Andrew Raim, U.S. Census Bureau
2:50 PM Log Binomial Regression When the Maximum Likelihood Solution Is on the Boundary of the Parameter Space
Presentation
Chao Zhu, Menzies Institute of Medical Research, University of Tasmania; David W Hosmer, University of Massachusetts; Jim Stankovich, School of Medicine, University of Tasmania; Karen Wills, Menzies Institute of Medical Research, University of Tasmania; Leigh Blizzard, Menzies Institute of Medical Research, University of Tasmania
3:05 PM Optimal Scaling for a Logistic Regression Model with Ordinal Covariates
Presentation
Sanne JW Willems, Leiden University; Marta Fiocco, Leiden University; Jacqueline J Meulman, Leiden University & Stanford University
3:20 PM Combining Confidence Distributions for Rare Event Meta-Analysis
Presentation
Brinley Zabriskie, Utah State University; Chris Corcoran, Utah State University; Pralay Senchaudhuri, Cytel Software Corporation
3:35 PM Floor Discussion
 
 

32 *
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 219
Longitudinal/Correlated Data I — Contributed Papers
Biometrics Section
Chair(s): Guanghao Qi, Johns Hopkins University
2:05 PM Rank-Tracking Probabilities of Bivariate Dependent Variables in Longitudinal Studies
Presentation
Seonjin Kim, Miami University; Hyunkeun Cho, University of Iowa; Colin O. Wu, National Heart, Lung and Blood Institute, NIH
2:20 PM Optimal Dose Selection Considering Both Toxicity and Activity Data; Plateau Detection for Molecularly Targeted Agents
Presentation
Maria Athina Altzerinakou, Inserm; Xavier Paoletti, Gustave Roussy
2:35 PM Efficient Analysis for fMRI Studies
Lan Liu, University of Minnesota at Twin Cities
3:05 PM Joint Modeling of Longitudinal Multidimensional Quality of Life Measures in Chronic Dialysis Patients
Presentation
Sudeshna Paul, Emory University; Mi-Kyung Song, Emory University
3:20 PM Simulation Study on the Impact of Accuracy of Estimated Genetic Relationship Matrices on Predicting Genotype Performance
MINGZHU SUN, The University of Queensland; Vivi Arief, UNIVERSITY OF QUEENSLAND; Ian DeLacy, UNIVERSITY OF QUEENSLAND; Kaye Basford, UNIVERSITY OF QUEENSLAND; Wen-Hsi Yang, UNIVERSITY OF QUEENSLAND
3:35 PM Floor Discussion
 
 

43 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 304/305
Discovering Homology in Multi-View Data: New Statistical Methods for Data Integration — Invited Papers
ENAR, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Irina Gaynanova, Texas A&M Univeristy
Chair(s): Irina Gaynanova, Texas A&M Univeristy
4:05 PM Clustering Multiple-View Data: Are Two Clusterings Independent?
Presentation
Lucy Gao, University of Washington; Jacob Bien, University of Southern California; Daniela Witten, University of Washington
4:30 PM Angle Based Joint and Individual Variation Explained
Presentation
J. S. (Steve) Marron, University of North Carolina; Jan Hannig, University of North Carolina; Meilei Jiang, University of North Carolina; Qing Feng, Uber
4:55 PM Integrated Reduced-Rank Models with Multiple Sets of Predictors
Presentation
Gen Li, Columbia University; Kun Chen, University of Connecticut
5:20 PM Joint Modeling of Multi-System Wearable Data
Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Junrui Di, Johns Hopkins Bloomberg School of Public Health
5:45 PM Floor Discussion
 
 

44 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 306
Innovative Clinical Trial Designs and Analytic Methods in Neuroscience — Invited Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, PhD, Janssen Research & Development, LLC
Chair(s): Pilar Lim, PhD, Janssen Research & Development, LLC
4:05 PM New Developments with the Sequential Parallel Comparison Design
Presentation
Gheorghe Doros, Boston University; Denis Rybin, Pfizer, Inc
4:25 PM Missing Data Issues in the Studies of Neurodegenerative Disorders: The Methodology
Presentation
Sheng Luo, Duke University Medical Center; Kan Li, University of Texas Health Science Center
4:45 PM Using Delayed Start Design and Analysis to Investigate Potential Disease Modifying Effects in Alzheimer's Disease
Presentation
Hong Liu-Seifert, Eli Lilly and Company; Scott Andersen, Eli Lilly and Company
5:05 PM Practical Bayesian Modeling and Subgroup Inference in Alzheimer's Drug Development
Brad Carlin, University of Minnesota; Patrick Schnell, Ohio State University; Mark Fiecas, University of Minnesota; Peter Müller, University of Texas Austin; Qi Tang, Sanofi; Walter Offen, AbbVie
5:25 PM Discussant: Hsien-Ming James Hung, PhD, Food and Drug Administration
5:45 PM Floor Discussion
 
 

48 *
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 109
Longitudinal Modeling and Experimental Design for Investigating Host Associated Microbiota — Invited Papers
IMS, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Justin D Silverman, Duke University
Chair(s): Sayan Mukherjee, Duke University
4:05 PM Nonparametric Analyses of Longitudinal Perturbation Data from the Human Microbiome
Presentation
Susan Holmes, Statistics
4:25 PM A Microbial Interdependence Association Test in Longitudinal Study
Presentation
Huilin Li, New York University; Yilong Zhang, Merck Research Laboratories; Sung Won Han, Korea University; Laura Cox, Brigham and Women's Hospital and Harvard Medical School
4:45 PM Predictive and Interpretable Bayesian Machine Learning Models for Understanding Microbiome Dynamics
Presentation
Georg Kurt Gerber, Harvard Medical School / Brigham and Women's Hospital
5:05 PM Quantifying and Controlling for Sources of Technical Variation and Bias in Longitudinal Microbiome Surveys
Justin D Silverman, Duke University; Heather Durand, Duke University; Sayan Mukherjee, Duke University; Lawrence A David, Duke University
5:25 PM Incorporating Host Genomics Data and Microbial Network Inference
Presentation
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:45 PM Floor Discussion
 
 

51 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 214
EHR Data + X: Expanding the Reach of EHR Data Through Data Integration — Invited Papers
Biometrics Section, Health Policy Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Yong Chen, University of Pennsylvania
Chair(s): Rui Duan, University of Pennsylvania
4:05 PM Perils and Possibilities of EHR Data Linked to Population Disease Registries: The Example of Cancer Registry Linkage
Presentation
Rebecca Hubbard, University of Pennsylvania
4:30 PM Integrating Observational Data with Prior Knowledge: Wikipedia-Informed Priors for Predicting Health Outcomes
Presentation
Martijn Jeroen Schuemie, Janssen R&D
4:55 PM Methods to Utilize Longitudinal EHR and Address Data Connected to the Built Environment to Assess If Moving to a Different Environment Affects Health
Presentation
Jennifer Bobb, Kaiser Permanente Washington Health Research Institute; Andrea J. Cook, Kaiser Permanente Washington Health Research Institute
5:20 PM Risk Prediction Through Temporal Phenotyping and Incorporation of MedDRA Information
Presentation
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
5:45 PM Floor Discussion
 
 

56 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 114
Novel Statistical Methods for Variable Selection with Applications — Topic Contributed Papers
Section on Nonparametric Statistics, Biometrics Section, International Chinese Statistical Association, SSC
Organizer(s): Xiangrong Yin, University of Kentucky
Chair(s): Xiangrong Yin, University of Kentucky
4:05 PM Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction
Presentation
Yi Li
4:25 PM Partial Least Square: Theoretical Results for the Chemometrics Use of PLS
Presentation
Liliana Forzani, FACULTAD DE INGENIERIA QUIMICA; Dennis Cook, School of Statistics
4:45 PM Sufficient Dimension Folding for Regressions with Matrix- or Array-Valued Predictors
Wenhui Sheng
5:05 PM Nonlinear Multivariate Functional PCA
Presentation
Jun Song, UNC Charlotte; Bing Li, The Pennsylvania State University
5:25 PM Variable Selection in Semiparametric Transformation Cure Models with Right-Censored Data
Wenyan Zhong
5:45 PM Floor Discussion
 
 

68 *
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 218
Personalized/Precision Medicine I — Contributed Papers
Biometrics Section
Chair(s): Jia Jia, AbbVie
4:05 PM Adjusting a Subject-Specific Timing of Event in Longitudinal Studies
Hyunkeun Cho, University of Iowa; Seonjin Kim, Miami University; Myunghee Lee, Weill Cornell Medical College
4:20 PM Point and Interval Estimations for Individualized MCID
Presentation
Jiwei Zhao, State University of New York At Buffalo
4:35 PM Two-Stage Enrichment Clinical Trial Design with Adjustment for Misclassification in Predictive Biomarkers
Yong Lin, Rutgers, The State University of New Jersey; Weichung Joe Shih, Rutgers University; Shou-En Lu, Rutgers University
4:50 PM Spatial Statistics Approach to Develop Novel Protein Cancer Biomarkers
Presentation
Inna Chervoneva, Thomas Jefferson University
5:05 PM Precision Medicine in Dynamic-Time Systems
Michael Lawson
5:35 PM Floor Discussion
 
 

69 *
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 219
Longitudinal/Correlated Data II — Contributed Papers
Biometrics Section
Chair(s): Jen-hwa Chu, Yale University School of Medicine
4:05 PM Robust Modeling of Survival Curves in the Presence of Time-Varying Effects
Presentation
Jorne Biccler, Aalborg University Hospital; Tim Verdonck, KU Leuven; Stefan Van Aelst, KU Leuven; Martin Bøgsted, Aalborg University
4:20 PM Symptom Clusters as a Visualization and Discovery Tool for Longitudinal Oncological Data
Presentation
Stephanie Van Der Pas, Leiden University; Marta Fiocco, Leiden University
4:35 PM Marginal Analysis of Ordinal Clustered Longitudinal Data with Informative Cluster Size
Aya A Mitani, Boston University ; Elizabeth K Kaye, Boston University; Kerrie P Nelson, Boston University
4:50 PM Model Based Clustering via Copula and Applications
Presentation
Marta Nai Ruscone, LIUC
5:05 PM A Bayesian Nonparametric Model for Predicting Disease Status Using Longitudinal Profiles
Presentation
Jeremy Gaskins, University of Louisville
5:20 PM Bayesian Multivariate Longitudinal Models for Bariatric Surgery Outcomes
Presentation
Heidi Fischer, Kaiser Permanente Southern California; Karen Coleman, Kaiser Permanente Southern California; Robert Weiss, UCLA; Stephen Derose, Kaiser Permanente Southern California; Allon Friedman, Indiana University School of Medicine; David H. Smith, Kaiser Permanente Center for Health Research; Talha Imam, Kaiser Permanente Southern California
5:35 PM Generalized Linear Models with Multiple Longitudinal Covariate Processes
Erning Li, University of Iowa
 
 

83
Sun, 7/29/2018, 4:00 PM - 4:45 PM CC-West Hall B
SPEED: Survival Analysis — Contributed Poster Presentations
Biometrics Section, Section on Statistics in Epidemiology, Section on Risk Analysis
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Regression Calibration to Address Error Prone Time-To-Event Outcomes
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2: A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
3: Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
5: Dependence Modeling for Recurrent Event Times Subject to Right-Censoring with D-Vine Copulas
Nicole Barthel, Technical University Munich; Candida Geerdens, Hasselt University; Claudia Czado, Technical University Munich; Paul Janssen, Hasselt University
6: Flexible and Interpretable Models for Survival Data
Jiacheng Wu, Univesity of Washington; Daniela Witten, University of Washington
7: Estimation in the Nested Case-Control Design Under Model Misspecification
Michelle Nuno; Daniel L. Gillen, University of California, Irvine
9: Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
10: An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints
Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
11: Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
12: Competing Risks Matter in the Analysis of Public Health Data: When and How?
Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
14: Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
15: Semiparametric Regression Analysis of Length-Biased Interval-Censored Data
Fei Gao, University of Washington; Kwun Chuen Gary Chan, University of Washington
16: Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time
Milind A Phadnis, University of Kansas Medical Center
18: Regression Analysis of Recurrent Event Data with Measurement Error
Yixin Ren, University of Maryland, College Park; Xin He, University of Maryland, College Park
19: Monitoring Rare Events During an Ongoing Clinical Trial
Haley Hedlin, Stanford University; Victoria Ding, Quantitative Sciences Unit, Stanford School of Medicine
20: Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
Oral Presentations for this session.
 
 

85
Sun, 7/29/2018, 5:05 PM - 5:50 PM CC-West Hall B
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2: On Using Gene Genealogies to Find Trait-Influencing Variants
Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
3: A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
4: A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
5: A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
6: Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data
Anna Reisetter
7: An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis
Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
8: MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
9: A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship
Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
10: A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing
Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
11: P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
12: Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
13: Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
14: An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan
16: Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
17: Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
18: Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
19: Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
20: A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
Oral Presentations for this session.
 
 

87
Sun, 7/29/2018, 8:30 PM - 10:30 PM CC-West Hall B
Invited ePoster Session: a Statistical Smörgåsbord — Invited Poster Presentations
SSC, Section on Bayesian Statistical Science, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Biometrics Section, Section on Statistics and the Environment, Section for Statistical Programmers and Analysts, Section on Statistics in Imaging, WNAR, Social Statistics Section, Astrostatistics Special Interest Group, Biopharmaceutical Section, ENAR, Section on Risk Analysis, Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
1: The LISA 2020 Program to Build Statistics Capacity in Developing Countries
Eric Vance, LISA-University of Colorado Boulder
2: Conditions for the Uniqueness, Finiteness, and Possible Location of the Maximum Likelihood Estimate with a Log Binomial Model
Gurbakhshash Singh, University of Calgary; Gordon Hilton Fick, University of Calgary
3: Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio
Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington
4: An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington; Tyler McCormick, University of Washington
5: A Bayesian Model for Multivariate Micro-Level Insurance Claims
Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University
6: Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
7: Flexible Accelerated Failure Time Model in Survival Analysis
Menglan Pang, McGill University; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University
8: Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
9: Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon University
10: Zero Counts in Single Cell RNA-Seq Data
Hao Wu, Emory University; Zhijin Wu, Brown University
11: Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University
12: Estimation of Fire Duration Distribution with Missing Start Time
Yi Xiong, Simon Fraser University; John Braun, University of British Columbia ; Joan Hu, Simon Fraser University
13: Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
14: Approximate Bayesian Computation for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University
15: A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor
16: Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data
Valeriia Sherina, University of Rochester Medical Center; Love Tanzy, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center
17: Generalized Statistical Inference for Astrophysical Discoveries
Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
18: Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University
19: Addressing Overfitting in Mixtures of Factor Analyzers
Jeffrey L Andrews, University of British Columbia Okanagan
20: Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
21: Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data
Peter A Tait, McMaster Univeristy; Paul McNicholas, McMaster University
22: Detection of Trend Onset in Environmental Time Series
Ying Zhang, Acadia University
23: The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model
Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria
24: Infere
Steven Cumming, Université Laval
25: Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space
Peng Liu, University of Alberta; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
26: Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved?
Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
27: Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
28: Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
29: A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
David C. Wheeler, Virginia Commonwealth University
30: Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
31: A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
32: The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication
Harlan Campbell, University of British Columbia; Paul Gustafson, University of British Columbia
33: Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University
34: Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
35: Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
36: Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
37: Sparse Functional Principal Component Analysis in a New Regression Framework
YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
38: Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
39: Statistical Methods for Addressing Missing Data in HIV/AIDS Surveillance Systems
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutch
40: Latent Mixtures of Functions to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence
Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute
 
 

99 * !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 211
Single Cell Sequencing and Cancer Genomics — Invited Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, ENAR, SSC
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
8:35 AM 3?-UTR Shortening Represses Tumor Suppressor Genes in Trans by Disrupting CeRNA Crosstalk
Wei Li, Baylor College of Medicine
9:00 AM Pathway and Network-Based Integrative Bayesian Modeling of Multiplatform Genomics Data
Presentation
Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Elizabeth McGuffey, United States Naval Academy; Raymond J. Carroll, Texas A & M University; Min Jin Ha, UT MD Anderson Cancer Center
9:25 AM Changing Mixtures Does Not Always Change Margins: An Application to Single-Cell RNA-Seq
Michael Newton, University of Wisconsin at Madison; XIuyu Ma, University of Wisconsin at Madison; Christina Kendziorski, University of Wisconsin - Madison
9:50 AM Unsupervised embedding of single-cell Hi-C data
William S. Noble, University of Washington
10:15 AM Floor Discussion
 
 

100 * !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 217
Optimizing Medical Decision Making with Real World Evidence — Invited Papers
ENAR, Biometrics Section
Organizer(s): Yuanjia Wang, Columbia University
Chair(s): Donglin Zeng, UNC Chapel Hill
8:35 AM Shared-Parameter G-Estimation of an Optimal Adaptive Treatment Strategy for Rheumatoid Arthritis
Erica E.M. Moodie, McGill University; Michael Wallace, University of Waterloo
9:00 AM Learning Individualized Treatment Rules from Electronic Health Records Data
Yuanjia Wang, Columbia University
9:25 AM Conquering Massive Clinical Models with GPU Parallelized Logistic Regression
Presentation
Yuxi Tian, UCLA; Trevor Shaddox, UCLA; Marc Suchard, UCLA
9:50 AM Comparison of Adaptive Randomized Trial Designs for Time-To-Event Outcomes That Expand Versus Restrict Enrollment Criteria
Presentation
Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
10:15 AM Floor Discussion
 
 

108 * !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 214
New Era for Safety Evaluation — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, American Public Health Association
Organizer(s): Freda Cooner, Sanofi
Chair(s): Freda Cooner, Sanofi
8:35 AM The Role of Real World Evidence in a Regulatory Environment: Focus on Safety
Presentation
Estelle Russek-Cohen, US FDA CDER
8:55 AM Sources of Safety Data and Statistical Strategies for Design and Analysis: Real World Insights
Presentation
Olga Marchenko, Bayer
9:15 AM Propensity-Score-Based Controls: Its Use in Establishing Benefit/Risk of Medicines for Unmet Medical Need
Presentation
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly & Co; Ram Tiwari, Center for Devices and Radiologica Health, FDA
9:35 AM Visual Analytics in the Real World Evidence Data Realm
Melvin Munsaka, AbbVie, Inc.; Kefei Zhou, Theravance Biopharma; Krishan P. Singh, GlaxoSmithKline
9:55 AM Discussant: Judy Li, Regeneron Pharmaceuticals Inc.
10:15 AM Floor Discussion
 
 

123 *
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 218
Binary and Ordinal Outcome Regression — Contributed Papers
Biometrics Section
Chair(s): Yanbing Zheng, AbbVie
8:35 AM Analysis of Matched Case-Control Study with a Misclassified Exposure
Presentation
Samiran Sinha, Texas A & M University; Christopher Manuel, Texas A&M University; Suojin Wang, Texas A&M University
8:50 AM A Bayesian Logistic Model with Covariate to Identify Optimal Dose for Heterogeneous Population in Phase I Oncology Trial
Presentation
Xin Wei, Celgene Corporation; Michael Branson, celgene corporation
9:05 AM Comparison of Empirical Size and Power of Goodness-of-Fit Tests for Multiple Logistic Regression Model Under Varied Sample Size Conditions
Presentation
Pengcheng Lu; Jonathan D Mahnken, University of Kansas Medical Center
9:20 AM Improving the Hosmer-Lemeshow Goodness-of-Fit Test
Nikola Surjanovic; Thomas Loughin, Simon Fraser University
9:35 AM Ordinal Outcomes: Considerations for the Generalized Linear Model with the Log Link
Presentation
Gurbakhshash Singh, University of Calgary; Gordon Hilton Fick, University of Calgary
9:50 AM Structural Equation Modeling with Latent Variables for Secondary Phenotypes in Case-Control Association Studies
Presentation
Ting-Huei Chen, Université Laval
10:05 AM Methods for Estimating Points Based Risk Score for Binary Clinical Outcome
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso; Muditha Perera, Texas Tech University Health Sciences Center El Paso; Durgesh Kumar Dwivedi, University of Texas Southwestern Medical Center; Anit Parihar, King George's Medical University; Sada Nand Dwivedi, All India Institute of Medical Sciences; Rakesh Shukla, University of Cincinnati
 
 

Register CE_16C
Mon, 7/30/2018, 8:30 AM - 5:00 PM CC-East 1
Introduction to Bayesian Nonparametric Methods for Causal Inference (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section, Biopharmaceutical Section
Instructor(s): Michael Daniels, University of Florida; Jason Roy, University of Pennsylvania
Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal assumptions, can be used with the g-formula for inference about causal effects. This general approach to causal inference has several possible advantages over popular semiparametric methods, including efficiency gains, the ease of causal inference on any functionals of the distribution of potential outcomes, the use of prior information, and capturing uncertainty about causal assumption via informative prior distributions. In this short course we review BNP methods and illustrate their use for causal inference in the setting of point treatments, dynamic (longitudinal) treatments, and mediation. We present several data examples and discuss software implementation using R. The R code and/or packages used to run the data examples will be provided to the attendees at a specific github site.
8:30 AM Introduction to Bayesian Nonparametric Methods for Causal Inference (ADDED FEE)
Jason Roy, University of Pennsylvania; Michael Daniels, University of Florida
 
 

138 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 214
Statistical Methods for Electronic Healthcare Data — Invited Papers
ENAR, Health Policy Statistics Section, Biometrics Section, SSC
Organizer(s): Eric Laber, North Carlina State University; Yingqi Zhao, Fred Hutchinson Cancer Research Center
Chair(s): Eric Laber, North Carlina State University
10:35 AM Reinforced Risk Prediction with Budget Constraint: Application to Electronic Health Records Data
Yinghao Pan, Fred Hutchinson Cancer Research Center; Eric Laber, North Carlina State University; Maureen Smith, University of Wisconsin-Madison; Yingqi Zhao, Fred Hutchinson Cancer Research Center
11:00 AM Statistical Methods for Handling Missing Data in Distributed Health Data Networks
Yi Deng, Google Inc.; Xiaoqian Jiang, University of California, San Diego; Qi Long, University of Pennsylvania
11:25 AM Robust Bayesian Variable Selection for Modeling Mean Medical Costs
Presentation
Lei Liu, Washington University in St Louis; Grace Yoon, Texas A&M University; Wenxin Jiang, Northwestern University; Tina Shih, MD Anderson Cancer Center
11:50 AM Reconciling disease progression risks across multiple clinical cohorts
Jane Lange, Fred Hutchinson Cancer Research Center; Lurdes Inoue, University of Washington; Ruth Etzioni, Fred Hutchinson Cancer Research Center
12:15 PM Floor Discussion
 
 

143 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 206/207
Some New Perspectives and Developments in Biostatistical Research in the Era of Data Science — Invited Papers
SSC, ENAR, Biometrics Section
Organizer(s): Peisong Han, University of Waterloo
Chair(s): Peisong Han, University of Waterloo
10:35 AM Relevance, Validity, and Bias in the Integration of Health Data
Presentation
Jerald Lawless, University of Waterloo
10:55 AM How Small Data Can Leverage Big Data, and/or Conversely
Presentation
Bhramar Mukherjee, University of Michigan
11:15 AM Modeling for Stem Cell Transplant Data
Zhezhen Jin, Columbia University
11:35 AM Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade
Presentation
Joseph W Hogan, Brown University School of Public Health
11:55 AM Combining Phenotypes, Genotypes, and Genealogies to Fine-Map Trait-Influencing Variants on the Genome
Presentation
Jinko Graham, Simon Fraser University
12:15 PM Floor Discussion
 
 

152 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 205
Frontiers of High-Dimensional and Complex Data analysis — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Nonparametric Statistics, SSC
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yangxin Huang, University of South Florida
10:35 AM Data Enriched Generalized Linear Methods
Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwaukee ; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Asad Haris, University of Washington
10:55 AM Statistically and Numerically Efficient Independence Tests That Are Based on Distances
Presentation
Xiaoming Huo, Georgia Institute of Technology, ; Cheng Huang, Georgia Institute of Technology
11:15 AM Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters
Presentation
Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:35 AM A Bernstein-Type Inequality for U-Statistics Under Mixing Conditions
Presentation
Fang Han, University of Washington; Yandi Shen, University of Washington; Daniela Witten, University of Washington
11:55 AM Ensemble Estimation and Variable Selection with Semiparametric Regression Models
Presentation
Sunyoung Shin, University of Texas at Dallas; Yufeng Liu, University of North Carolina at Chapel Hill; Stephen Cole, University of North Carolina at Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill
12:15 PM Floor Discussion
 
 

159 *
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 219
New Statistical Methods in Phylogenetics — Topic Contributed Papers
Biometrics Section
Organizer(s): Arindam RoyChoudhury, Cornell University
Chair(s): Katherine Thompson, University of Kentucky
10:55 AM Likelihood Estimation of Large Species Trees from Multiple Samples Per Species, Using the Coalescent Process
Arindam RoyChoudhury, Cornell University
11:15 AM A starless bias in the maximum likelihood phylogenetic methods
Presentation
Xuhua Xia, University of Ottawa
11:35 AM Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:55 AM Phylogenomic Inference in the Presence of Gene Flow Using Coalescent Site Pattern Probabilities
Presentation
Laura Kubatko, Ohio State University; Colby Long, Mathematical Biosciences Institute, The Ohio State University
12:15 PM Floor Discussion
 
 

162 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 215/216
Statistical Challenge and Issues in Vaccine Development — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section
Organizer(s): Frank G Liu, Merck Sharp & Dohme Inc.
Chair(s): Fabian Tibaldi, GSK
10:35 AM Recent Challenges in Vaccine Clinical Development
Tsai-Lien Lin, FDA/CBER
10:55 AM Bridging to Bridges in Vaccine Development: Challenges in Comparing Multi-Serotype Vaccines
Presentation
Jonathan Hartzel, Merck
11:15 AM Application of Futility Testing in Vaccine Outcome Studies (With a Recent Example)
Presentation
Aiying Chen, Sanofi Pasteur; Scott Patterson, Sanofi Pasteur; Ehab Bassily, Sanofi Pasteur
11:35 AM Epidemiological Modeling to Guide Efficacy Study Design Evaluating Vaccines to Prevent Emerging Diseases
Presentation
An Vandebosch, Janssen; Joris Menten, Janssen ; Guillermo Herrera-Taracena, Janssen
11:55 AM Maximum Diversity Weighting for Biomarkers with Application in HIV-1 Vaccine Studies
Presentation
Zonglin He, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
12:15 PM Floor Discussion
 
 

163
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 212
SPEED: Longitudinal/Correlated Data — Contributed Speed
Biometrics Section, Health Policy Statistics Section, Section on Statistics in Epidemiology, ENAR
Chair(s): Jonathan Gelfond, University of Texas Health San Antonio
Poster Presentations for this session.
10:35 AM Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
10:40 AM Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Presentation
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme
10:45 AM Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Presentation
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
10:50 AM Horizontal and Vertical Effects in a Logistic Regression Model
Presentation
Diana Gonzalez, Arizona State University
10:55 AM An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Presentation
Byron Jaeger, University of Alabama at Birmingham; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
11:00 AM Using Multitrajectory Modeling in Latent Class Growth Analysis to Identify Multi-Symptom Trajectories Over Time
Presentation
Wei Pan, Duke University; Mary C Hooke, University of Minnesota School of Nursing; Cheryl Rodgers, Duke University School of Nursing; Marilyn Hockenberry, Duke University School of Nursing
11:10 AM A Novel Robust Approach for Analysis of Longitudinal Data
Presentation
Yuexia Zhang, Fudan University; Guoyou Qin, Fudan University; Zhongyi Zhu, Fudan University
11:15 AM Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Presentation
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
11:20 AM Sampling Studies for Longitudinal Functional Data Analysis
Presentation 1 Presentation 2
Toni Jassel; Andrada E Ivanescu, Montclair State University
11:30 AM Power and Sample Size Requirements for GEE Analyzes of Cluster Randomized Crossover Trials
Presentation
Fan Li, Duke Univeristy; Andrew Forbes, Monash University; Elizabeth L. Turner, Duke Global Health Institutes; John S. Preisser, University of North Carolina at Chapel Hill
11:35 AM Evaluating Quantile Estimation Methods for Setting Normal Values for Longitudinal Measures
Presentation
Jeffrey Slezak, Kaiser Permanente; Steven J Jacobsen, Kaiser Permanente; Stephanie Reading, Kaiser Permanente
11:40 AM Survival Analysis Using Intensive Longitudinal Data and Irregular Moments of Reporting
Trent Lalonde, Applied Statistics Program, University of Northern Colorado; Kristina T Phillips, University of Northern Colorado; Michael M Phillips, University of Northern Colorado
11:45 AM Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Presentation
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
11:50 AM Interrupted Time Series Analysis to Evaluate the Effect of a Multicenter Collaborative Effort to Improve Care for Adult Intensive Care Patients
Presentation
Alai Tan, Ohio State University College of Nursing; Michele C. Balas, Ohio State University College of Nursing
11:55 AM A Comparison of Modeling Approaches for Stepped-Wedge Cluster Randomized Trials That Include Multilevel Clustering, Confounding by Time, and Effect Modification
Presentation
Lance Ford, University of Oklahoma Health Sciences Center; Julie A Stoner, University of Oklahoma Health Sciences Center; Daniel Zhao, OU Health Sciences Center; Tabitha Garwe, University of Oklahoma Health Sciences Center; Ann Chou, University of Oklahoma Health Sciences Center; Daniel Duffy, University of Oklahoma-Tulsa
12:00 PM Unified Mediation Analysis Approach to Complex Data of Mixed Types via Copula Models
Presentation
Wei Hao, University of Michigan; Peter X.-K. Song, University of Michigan
12:05 PM Vine Copula Models for Family Data Analysis
Yihao Deng, Purdue University Fort Wayne; N. Rao Chaganty, Old Dominion University
12:10 PM The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
 
 

168 *
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 218
Causal Inference — Contributed Papers
Biometrics Section
Chair(s): Robert E. Johnson, Vanderbilt University
10:35 AM Joint Testing in High-Dimensional Instrumental Variables Regression with an Application to Genomics Data
Presentation
Jiarui Lu, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
10:50 AM Multiply Robust Estimation of Causal Quantile Treatment Effects
Yuying Xie, University of Waterloo; Cecilia Cotton, University of Waterloo; Yeying Zhu, University of Waterloo
11:05 AM Sensitivity Analysis for Unmeasured Confounding in Meta-Analyzes
Presentation
Maya Mathur, Harvard University; Tyler VanderWeele, Harvard University
11:20 AM A Unified Approach to the Statistical Evaluation of Differential Vaccine Efficacy
Presentation
Erin Gabriel, Karolinska Institute; Dean Follmann, NIAID
11:35 AM Generalized Causal Mediation and Path Analysis Using the R Gmediation Package
Presentation
Jeffrey Albert, Case Western Reserve University
11:50 AM Nonparametric Mediation Analysis for Investigating the ROle of Microbiome Health
Presentation
Kyle Carter, University of Arizona; Meng Lu, University of Arizona; Lingling An, University of Arizona
12:05 PM Floor Discussion
 
 

Register CE_20C
Mon, 7/30/2018, 1:00 PM - 5:00 PM CC-East 2/3
Prediction in Event-Based Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Daniel Heitjan, Southern Methodist University; Gui-shuang Ying, University of Pennsylvania
Randomized clinical trials often include planned interim analyses, at which external reviewers assess the accumulated data to determine whether the study should continue. With time-to-event endpoints, it is often desirable to schedule the interim analyses at the times of occurrence of specified landmark events, such as the 100th event, the 200th event, and so on. It can be worthwhile to predict the times of such events, together with other trial outcomes, as an aid to real-time logistical planning. Traditional prediction methods use data only from previous trials and give inaccurate projections if, as often happens, historical enrollment or event rates differ from those in the current trial. With modern data management systems we can create accurate and complete study databases in real time, making it possible to use the accumulating data from the trial itself to make predictions about its future. Over the last several years the presenters have developed a suite of statistical methods for real-time prediction of the future course of a clinical trial. In this short course we will describe these methods and train potential users in their application.
1:00 PM Prediction in Event-Based Clinical Trials (ADDED FEE)
Daniel Heitjan, Southern Methodist University; Gui-shuang Ying, University of Pennsylvania
 
 

222 *
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 116
New Advances in Statistical Methods for Complex Data — Invited Papers
Section on Risk Analysis, Biometrics Section, Section on Statistics in Epidemiology, SSC
Organizer(s): Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development
Chair(s): Ling Ma, Clemson University
2:05 PM Complexity in Simple Regression Models with Binary Disease Outcome
Mei-Cheng Wang, Johns Hopkins University
2:30 PM Regression Analysis of Mixed Recurrent Event and Panel Count Data
Presentation
(Tony) Jianguo Sun, University of Missouri
2:55 PM Independence Conditions and Intermittent Observation in Life History Studies
Presentation
Richard John Cook, University of Waterloo; Jerald Lawless, University of Waterloo
3:20 PM Joint Modeling of Length-Biased and Competing Risks Survival Times with View Toward Individualized Prediction: An Application to Spontaneous Labor
Presentation
Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development; Ling Ma, Clemson University
3:45 PM Floor Discussion
 
 

225 *
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 219
The Interface of Functional Data Analysis and Biomedical Applications — Topic Contributed Papers
Biometrics Section, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Gen Li, Columbia University
Chair(s): Gen Li, Columbia University
2:05 PM Multiple Change Point Detection for Symmetric Positive Definite Matrices
Dehan Kong, University of Toronto; Zhenhua Lin, University of Toronto; Qiang Sun, University of Toronto
2:25 PM Gradient Synchronization to Quantify Brain Functional Connectivity
Jane-Ling Wang, Univ of California-Davis; Yang Zhou, UC Davis; Hans Mueller, UC Davis; Owen Carmichael, Pennington Biomedical Research Center
3:05 PM Manifold Data Analysis with Applications to High-Resolution 3D Imaging
Matthew Reimherr, Pennsylvania State University
3:25 PM A Bootstrap-Based Goodness-of-Fit Test of Covariance for Functional Data
Presentation
Luo Xiao, North Carolina State University; Stephanie Chen, North Carolina State University; Ana-Maria Staicu, NC State University
3:45 PM Floor Discussion
 
 

226 * !
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 214
Pediatric Trials - to Extrapolate or Not to Extrapolate — Topic Contributed Papers
Biopharmaceutical Section, Biopharmaceutical Section, Biometrics Section
Organizer(s): Freda Cooner, Sanofi
Chair(s): Fanni Natanegara, Eli Lilly and Company
2:05 PM Extrapolation in Pediatric Drug Development: an Evolving Science
Presentation
Yeruk Mulugeta, FDA; Lynne Yao, US FDA
2:25 PM The Promise and Peril of Pediatric Extrapolation
Presentation
Robert Nelson, Johnson & Johnson
2:45 PM Utilizing Partial Extrapolation of Adult Data to Develop Confirmatory Pediatric Trials
Presentation
JonDavid Sparks, Eli Lilly and Company; Ryan Sides, Eli Lilly and Company; Fanni Natanegara, Eli Lilly and Company
3:05 PM Bayesian Applications for Extrapolation from Adult to Pediatric Data
Presentation
Amy Xia, Amgen
3:25 PM Discussant: Margaret Gamalo-Siebers, Eli Lilly & Co
3:45 PM Floor Discussion
 
 

233
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 204
ASA Biometrics Section JSM Travel Awards (I) — Topic Contributed Papers
Biometrics Section
Organizer(s): Youyi Fong, Fred Hutchinson Cancer Research Center
Chair(s): Jiacheng Wu, Univesity of Washington
2:05 PM Studentized Sensitivity Analysis in Paired Observational Studies
Colin Fogarty, Massachusetts Institute of Technology
2:25 PM Nonparametric Variable Importance Assessment Using Machine Learning Techniques
Presentation
Brian Williamson, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center; Noah Simon, University of Washington; Marco Carone, University of Washington
2:45 PM A Semiparametric Approach to Model Effect Modification
Muxuan Liang, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison
3:05 PM Bayesian Latent Hierarchical Model for Transcriptomic Meta-Analysis to Detect Biomarkers with Clustered Meta-Patterns of Differential Expression Signals
Presentation
Zhiguang Huo, University of Florida; Chi Song, Ohio State University; George Tseng, University of Pittsburgh
3:25 PM Minimal Approximately Balancing Weights: Asymptotic Properties and Practical Considerations
Presentation
Yixin Wang, Columbia University; Jose Zubizarreta, Harvard University
3:45 PM Floor Discussion
 
 

239 *
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 218
Omics II — Contributed Papers
Biometrics Section
Chair(s): Yu Cao, Virginia Commonwealth University
2:05 PM A Correlated Random Effects Hurdle Model for Detecting Differentially Expressed Genes in Discrete Single Cell RNA Sequencing Data
Presentation
Michael Sekula, University of Louisville; Jeremy Gaskins, University of Louisville; Susmita Datta, University of Florida
2:20 PM Using Standard Microbiome Reference Groups to Simplify Beta-Diversity Analyzes and Facilitate Independent Validation
Presentation
Mitchell Gail, National Cancer Institute, Biostatistics Branch; Marlena Maziarz, National Cancer Institute, Biostatistics Branch; Ruth Pfeiffer , National Cancer Institute; Yunhu Wan, National Cancer Institute, Biostatistics Branch
2:35 PM GLM-Based Latent Variable Ordination Method for Microbiome Samples
Presentation
Michael Sohn, University of Rochester; Hongzhe Li, University of Pennsylvania
2:50 PM Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) Regression Model for Microbiome Compositional Data
Presentation
Zheng-Zheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
3:05 PM A Bilinear Regression Approach to Inform Variable Selection by Continuous Functional Annotation Information
Pixu Shi; Sunduz Keles, University of Wisconsin, Madison; Ming Yuan, Columbia University
3:20 PM A Two-Part Semiparametric Model for Metabolomics and Proteomics Data
Presentation
Li Chen, University of Kentucky; Yuntong Li, University of Kentucky; Teresa Fan, University of Kentucky; Andrew Lane, University of Kentucky; Woo-Young Kang, University of Kentucky; Susanne Arnold, University of Kentucky; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky
3:35 PM Powering Biomarker Discovery Studies for Training and Validation
Olga Demler, Harvard Medical School; Nancy R Cook, Harvard Medical School
 
 

240 *
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 217
Distributions and Significance — Contributed Papers
Biometrics Section
Chair(s): Chenguang Wang, John Hopkins University
2:05 PM Comparison of Interval Estimation in Machine Learning
Dai Feng, Merck; Andy Liaw, Merck & Co., Inc.; Vladimir Svetnik, Merck
2:20 PM Analysis of Decision Makers' Strategies
Mihoko Minami, Keio University
2:35 PM Estimation of Parameters of a Mixture of Two Exponential Distributions
Presentation
Trijya Singh
2:50 PM Exceedance Probability for Parameter Estimates
Presentation
Brian Segal, Flatiron Health
3:05 PM The Problems with the Kappa Statistic as a Metric of Inter-Observer Agreement on Lesion Detection Using a Third-Reader Approach When Locations Are Not Pre-Specified
Joanna H Shih, National Cancer Institute; Matthew D Greer, National Cancer Institute; Baris Turkbey, National Cancer Institute
3:20 PM Evaluating the Performance of Different Confidence Intervals for the Bland-Altman Limits of Agreement for Non-Normal Data
Presentation
Nga Nguyen, UT MD Anderson Cancer Center; Yisheng Li, UT MD Anderson Cancer Center
3:35 PM Cross-Validation for Dependent Multiple Testing
Josh Price, University of Arkansas; Jyotishka Datta, University of Arkansas
 
 

257
Mon, 7/30/2018, 2:00 PM - 2:45 PM CC-West Hall B
SPEED: Longitudinal/Correlated Data — Contributed Poster Presentations
Biometrics Section, Health Policy Statistics Section, Section on Statistics in Epidemiology, ENAR
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
2: Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme
3: Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
4: Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
5: An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Byron Jaeger, University of Alabama at Birmingham; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
6: Using Multitrajectory Modeling in Latent Class Growth Analysis to Identify Multi-Symptom Trajectories Over Time
Wei Pan, Duke University; Mary C Hooke, University of Minnesota School of Nursing; Cheryl Rodgers, Duke University School of Nursing; Marilyn Hockenberry, Duke University School of Nursing
8: A Novel Robust Approach for Analysis of Longitudinal Data
Yuexia Zhang, Fudan University; Guoyou Qin, Fudan University; Zhongyi Zhu, Fudan University
9: Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
10: Sampling Studies for Longitudinal Functional Data Analysis
Toni Jassel; Andrada E Ivanescu, Montclair State University
11: Power and Sample Size Requirements for GEE Analyzes of Cluster Randomized Crossover Trials
Fan Li, Duke Univeristy; Andrew Forbes, Monash University; Elizabeth L. Turner, Duke Global Health Institutes; John S. Preisser, University of North Carolina at Chapel Hill
12: Evaluating Quantile Estimation Methods for Setting Normal Values for Longitudinal Measures
Jeffrey Slezak, Kaiser Permanente; Steven J Jacobsen, Kaiser Permanente; Stephanie Reading, Kaiser Permanente
13: Survival Analysis Using Intensive Longitudinal Data and Irregular Moments of Reporting
Trent Lalonde, Applied Statistics Program, University of Northern Colorado; Kristina T Phillips, University of Northern Colorado; Michael M Phillips, University of Northern Colorado
14: Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
15: Interrupted Time Series Analysis to Evaluate the Effect of a Multicenter Collaborative Effort to Improve Care for Adult Intensive Care Patients
Alai Tan, Ohio State University College of Nursing; Michele C. Balas, Ohio State University College of Nursing
16: A Comparison of Modeling Approaches for Stepped-Wedge Cluster Randomized Trials That Include Multilevel Clustering, Confounding by Time, and Effect Modification
Lance Ford, University of Oklahoma Health Sciences Center; Julie A Stoner, University of Oklahoma Health Sciences Center; Daniel Zhao, OU Health Sciences Center; Tabitha Garwe, University of Oklahoma Health Sciences Center; Ann Chou, University of Oklahoma Health Sciences Center; Daniel Duffy, University of Oklahoma-Tulsa
17: Unified Mediation Analysis Approach to Complex Data of Mixed Types via Copula Models
Wei Hao, University of Michigan; Peter X.-K. Song, University of Michigan
18: Vine Copula Models for Family Data Analysis
Yihao Deng, Purdue University Fort Wayne; N. Rao Chaganty, Old Dominion University
19: The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
Oral Presentations for this session.
 
 

216483
Mon, 7/30/2018, 5:30 PM - 7:00 PM F-Mackenzie I
Biometrics Section Social Mixer and Business Meeting — Other Cmte/Business
Biometrics Section
Chair(s): Rebecca Hubbard, University of Pennsylvania
 
 

Register CE_23C
Tue, 7/31/2018, 8:00 AM - 12:00 PM CC-East 13
CANCELED: Health Care Analytics in the Presence of 'Big Data' (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Evan Carey, University of Colorado School of Public Health
The phrase "big data" has become widespread, but what does it mean for the practicing healthcare analyst? How does the presence of large dimensional data impact the actual workflow of conducting analytics in health care/health policy? In this course, participants will gain experience using cutting edge software tools for big data analysis, with a focus on Python and Apache Spark. We will begin with an overview of the challenges to making inference in the presence of high dimensional data. This will lead to a discussion of recent software solutions in this space. Through instructor led examples, we will next discuss and demonstrate the efficiency of various analytic frameworks. We will differentiate online learning approaches from distributed optimization approaches. Various examples of dimensionality reduction for data in the pre-modeling environment will be covered. We will contrast traditional serial optimization approaches (such as Newton Raphson) with parallel optimization approaches (such as stochastic gradient descent). Students will be provided with code to run all models presented at the workshop, thus no experience in these languages is required. All software used will be open source; students will be able to set up their computing environment prior to the workshop.
8:00 AM Health Care Analytics in the Presence of 'Big Data' (ADDED FEE)
Evan Carey, University of Colorado School of Public Health
 
 

277 !
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 224
Recent Advances in Methods to Address Measurement Error — Invited Papers
Biometrics Section, ENAR, WNAR
Organizer(s): Pamela A Shaw, University of Pennsylvania
Chair(s): Sharon X Xie, University of Pennsylvania
8:35 AM Correcting for Errors in Variables Derived from Electronic Health Records Using Validation Sampling and Multiple Imputation
Bryan E Shepherd, Vanderbilt University School of Medicine; Mark Giganti, Vanderbilt University School of Medicine
9:00 AM On the Use of Raking to Improve Regression Calibration: A Flexible Method to Address Error-Induced Bias Efficiently
Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
9:25 AM Big Data as a Measurement Error Problem
Presentation
Raymond J. Carroll, Texas A & M University; Ya Su, Texas A&M University; Anirban Bhattacharya, Texas A&M University; Yan Zhang, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
9:50 AM Recent Developments in Modeling Nonlinear Relationships in the Presence of Measurement Error
Presentation
Ruth Keogh, London School of Hygiene & Tropical Medicine; Christen Gray, London School of Hygiene & Tropical Medicine
10:15 AM Floor Discussion
 
 

278 * !
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 116
Combining Markers for Classification in Practical Tasks — Invited Papers
Section on Medical Devices and Diagnostics, Biometrics Section, Society for Medical Decision Making, SSC
Organizer(s): Andriy Bandos, University of Pittsburgh
Chair(s): Andriy Bandos, University of Pittsburgh
8:35 AM Issues Regarding Biomarker Combination Within ROC Framework: Strategies, Target Functions, and Large Number of Weak Markers
Presentation
Lili Tian, SUNY at Buffalo; Li Yan, Roswell Park Cancer Institute; Jingjing Yin, Georgia Southern University; Le Kang, Virginia Commonwealth University
8:55 AM Robust Combination of Biomarkers for Classification with Covariate Adjustment
Ying Huang, Fred Hutchinson Cancer Research Center; Soyoung Kim, Medical College of Wisconsin
9:15 AM WITHDRAWN: Combining Biomarkers to Improve Classification Accuracy Under Heterogeneous Transformations
Aiyi Liu, BBB/DIPHR/NICHD; Wei Zhang, BBB/DIPHR/NICHD
9:35 AM New Dimension Reduction Methods for Combining Longitudinally Measured Biomarkers
Presentation
Ruth Pfeiffer , National Cancer Institute; Wei Wang , George Washington University ; Efstathia Bura , Vienna University of Technology
9:55 AM Discussant: Ying Lu, Stanford University
10:15 AM Floor Discussion
 
 

285 *
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 219
Advances in Dimension Reduction and Model Selection for Statistically Challenging Data — Topic Contributed Papers
IMS, Biometrics Section, ENAR, SSC
Organizer(s): Samuel Mueller, The University of Sydney
Chair(s): Samuel Mueller, The University of Sydney
8:35 AM Spatial-Temporal Latent Variable Models: a Potential Waste of Space and Time?
Presentation
Francis Hui, Mathematical Sciences Institute
8:55 AM Functional Censored Quantile Regression
Presentation
Fei Jiang, The University of Hong Kong
9:15 AM Improved Selection of High-Dimensional Neuroimaging Biomarkers Associated with Neurodegenerative Disease Progression
Tanya Garcia, Texas A&M University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
9:35 AM Bayesian Regression for High-Dimensional Data Using a Prior on the Model Fit
Howard D Bondell, University of Melbourne
9:55 AM Discussant: Alan H Welsh, The Australian National University
10:15 AM Floor Discussion
 
 

299
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 212
SPEED: Recent Advances in Statistical Genomics and Genetics — Contributed Speed
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Jia Hua, State University of New York At Buffalo
Poster Presentations for this session.
8:35 AM Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
8:40 AM ProxECAT: Proxy External Controls Association Test. a New Case-Control Gene Region Association Test Using Allele Frequencies from Public Controls
Audrey Hendricks, University of Colorado - Denver; Stephen Billups, University of Colorado - Denver; Hamish Pike, University of Colorado-Aschutz Medical Campus; Eleftheria Zeggini, Wellcome Trust Sanger Institute; Stephanie Santorico, University of Colorado - Denver; Inês Barroso, Wellcome Trust Sanger Institute; Josee Dupuis, Boston University School of Public Health
8:45 AM NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data
Tingting Zhai, University of Kentucky; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
8:50 AM Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Presentation
Tao Wang, UT Southwestern Medical Center
8:55 AM Visualization Methods for RNA-Sequencing Data Analysis
Presentation
Lindsay Rutter, Iowa State University; Dianne Cook, Monash University
9:00 AM A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Presentation
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
9:05 AM Differences in Gene Silencing Effect of MiRNA and Methylation in Two Histologic Subtypes
Prabhakar Chalise, University of Kansas Medical Center
9:10 AM SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing
Presentation
Mo Huang, University of Pennsylvania; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:15 AM Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Presentation
Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
9:20 AM An Ensemble RNA-Seq Differential Analysis Method for False Discovery Rate Control
Presentation
Dongmei Li, University of Rochester; Ananta Paine, University of Rochester; Timothy D. Dye, University of Rochester
9:30 AM A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control
Presentation
Jiyuan Hu, New York University School of Medicine; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
9:35 AM Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing
Presentation
Xiaotian Wu, Brown University; Zhijin Wu, Brown University; Hao Wu, Emory University
9:50 AM Four-Step Cross-Validation Procedure in Biomarker Prognostic Cox Model Development
Jianying Zhang, Ohio State University; Lianbo Yu, Ohio State University; Charles L Shapiro, Mount Sinai Medical Center
9:55 AM Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
10:00 AM Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Presentation
Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
10:10 AM Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data
Yian Chen, Moffitt Cancer Center & Research Institute; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
10:15 AM Identifying Direct Targets with Knockdown Experiment: An Adaptive Approach Detecting Strong Signals
Leying Guan, Stanford University
 
 

302 *
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 223
Omics I — Contributed Papers
Biometrics Section
Chair(s): Inyoung Kim, Virginia Tech
8:35 AM A Bayesian Hidden Markov Model for Detecting Differentially Methylated Regions
Tieming Ji, University of Missouri at Columbia
8:50 AM Genetic Association Analysis of Copy Number Variation via a Bayesian Procedure in Whole Genome Sequencing
Presentation
Yu-Chung Wei, Feng Chia University, TAIWAN
9:05 AM A Hidden Markov Modeling Approach for Identifying tumor Subclones in Next-Generation Sequencing Studies
Hyoyoung Choo-Wosoba, NCI/DCEG/BB; Paul S Albert, National Cancer Institute; Bin Zhu, NIH/NCI
9:20 AM The Most Informative Spacing Statistic Identifies Biologically Relevant Patterns in Transcript Level Distributions
Presentation
Stanley Pounds, St. Jude Children's Research Hospital
9:35 AM A Multi-Step Classifier Addressing Cohort Heterogeneity Improves Performance of Prognostic Biomarkers in Three Cancer Types
Ellis Patrick, University of Sydney; Samuel Mueller, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
9:50 AM Modeling Dynamics of V(D)J Recombination in T Cell Formation
Kingshuk Roy Choudhury, Duke University, Dept. of Biostatistics and Bioinformatics
10:05 AM Weighted Averages for Reconstructed Pathways: a Novel Method for Pathway Level Analysis of Gene Expression Profiles
Presentation
Monnie McGee, Southern Methodist University; Elizabeth McClellan, Metropolitan State University of Denver; Richard H Scheuermann, J Craig Venter Institute
 
 

Register CE_24C
Tue, 7/31/2018, 8:30 AM - 5:00 PM CC-East 8
Statistical Machine Learning for Biomedical Data (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Noah Simon, University of Washington
We will present a number of supervised learning methods that can be applied to Biomedical Big Data: In particular we will cover penalized approaches to regression and classification; as well as support vector machines, and tree-based methods. We will consider the analysis of "high-dimensional Omics" data sets. These data are typically characterized by a huge number of molecular measurements (such as genes) and a relatively small number of samples (such as patients). In addition, we will discuss the use of these tools in the development of prognostic and predictive biomarkers. Each topic will be illustrated with examples, both of well-done and poorly-done analyses. The example analyses will be conducted using state-of-the-art packages in R (including "e1071", "rpart", "gbm" and "glmnet"). Throughout the course, we will focus on common pitfalls in the supervised analysis of Biomedical Big Data and how to avoid them. The course will include interactive discussions/"challenge questions", to help participants actively engage with applying these tools in biomedical scenarios. This course assumes some previous exposure to linear regression, statistical hypothesis testing and R.
8:30 AM Statistical Machine Learning for Biomedical Data (ADDED FEE)
Noah Simon, University of Washington
 
 

329 * !
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 121
Novel Developments in Functional Data Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, Section on Nonparametric Statistics
Organizer(s): Andrada E Ivanescu, Montclair State University
Chair(s): Ciprian Crainiceanu, Johns Hopkins University
10:35 AM Registration for Exponential Functional Data
Presentation
Julia Wrobel; Jeff Goldsmith, Columbia University
10:55 AM Outlier Detection in Dynamic Functional Models
Presentation
Andrada E Ivanescu, Montclair State University; William Checkley, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
11:15 AM Functional Graphical Models for Analyzing Interactions Between Animals
Jan Gertheiss, Clausthal University of Technology
11:35 AM Tidyfun: a New Framework for Representing and Working with Function-Valued Data
Presentation
Fabian Scheipl, LMU Munich; Jeff Goldsmith, Columbia University
11:55 AM Floor Discussion
 
 

335
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 221
ASA Biometrics Section JSM Travel Awards (II) — Topic Contributed Papers
Biometrics Section
Organizer(s): Youyi Fong, Fred Hutchinson Cancer Research Center
Chair(s): Yi Zhao, Johns Hopkins Bloomberg School of Public Health
10:35 AM Semiparametric Single-Index Models for Optimal Treatment Regimes with Censored Outcomes
Jin Wang, University of North Carolina at Chapel Hill; Danyu Lin, University of North Carolina; Donglin Zeng, UNC Chapel Hill
10:55 AM Structural Learning and Integrative Decomposition of Multi-View Data
Presentation
Irina Gaynanova, Texas A&M Univeristy; Gen Li, Columbia University
11:15 AM Estimation and Optimization of Composite Outcomes
Daniel J Luckett, University of North Carolina at Chapel Hill; Eric Laber, North Carlina State University; Michael Kosorok, University of North Carolina at Chapel Hill
11:35 AM Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models
Presentation
Nicholas Henderson, Johns Hopkins University
11:55 AM Floor Discussion
 
 

337
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 222
Causal Inference for Complex Data Challenges — Topic Contributed Papers
Biometrics Section
Organizer(s): Justin R Williams, UCLA
Chair(s): Thomas Belin, UCLA
10:35 AM Estimating Causal Effects of Organ Transplantation Treatment Regimes
Presentation
David Michael Vock, University of Minnesota; Jeffrey Boatman, Gustavus Adolphus College
10:55 AM Propensity Score Methods for Studies with Hierarchical Data Structure and Continuous Treatments: Application to Childhood Obesity Interventions in Los Angeles County
Justin R Williams, UCLA; Catherine Crespi, University of California, Los Angeles; May Wang, University of California, Los Angeles
11:15 AM Robust Estimation of Propensity Score Weights via Subclassification
Linbo Wang; Xiao-Hua Zhou, Peking University; Thomas Richardson, University of Washington
11:35 AM Time-Varying Survivor Average Causal Effects with Semicompeting Risks
Presentation
Leah Comment, Harvard T.H. Chan School of Public Health; Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health
11:55 AM Integrating Data from Clinical Trials for More Powerful Mediation and Interaction Analyzes
Presentation
Linda Valeri, McLean Hospital, Harvard Medical School; Yiwen Zhu, Massachussetts General Hospital; Franca Centorrino, McLean Hospital; Garrett Fitzmaurice, McLean Hospital
12:15 PM Floor Discussion
 
 

343
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 213
SPEED: Tests, Trials, Biomarkers, and Other Topics in Biometrics — Contributed Speed
Biometrics Section, Biopharmaceutical Section, ENAR
Chair(s): Sayan Dasgupta, Fred Hutchinson Cancer Research Center
Poster Presentations for this session.
10:35 AM Some T-Tests for N-Of-1 Trials with Serial Correlation
Presentation
Ji-Ling Tang, University of Arkansas for Medical Sciences; Reid D. Landes, University of Arkansas for Medical Sciences; Anne Holbrook, McMaster University; Mark S Mennemeier, University of Arkansas for Medical Sciences; J. Tyler Floyd, University of Central Arkansas
10:40 AM Some T-Tests for N-Of-1 Trials with Serial Correlation: Correction Factors for Trials with Few Observations
Reid D. Landes, University of Arkansas for Medical Sciences; Ji-Ling Tang, University of Arkansas for Medical Sciences; Mark S Mennemeier, University of Arkansas for Medical Sciences; J. Tyler Floyd, University of Central Arkansas; Anne Holbrook, McMaster University
10:45 AM Hybrid Cluster-Individual Randomization Allocation
Presentation
Yi-Fan Chen, University of Illinois at Chicago; Jonathan Yabes, University of Pittsburgh
10:50 AM Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection
Presentation
Matthew Higham
10:55 AM Using Logistical Regression to Build a Better Diathesis Model of Dupuytren's Contracture Recurrence
Presentation
Brian Cohen, ACI Clinical
11:10 AM A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Presentation
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
11:15 AM An Estimation Method for Enzyme Kinetic Model Parameters Based on Bayesian Approach
Presentation
Boseung Choi, Korea University; Jae Kyoung Kim, Korea Advanced Institute of Science and Technology; Grzegorz A Rempala, The Ohio State University
11:20 AM Statistical Precision of Time-to-Event Endpoint in Single Arm Observational Study Using Monte Carlo Simulation
Meijing Wu, AbbVie; Hongwei Wang, AbbVie Inc; Yabing Mai, AbbVie, Inc; Dajun Tian, Chiltern
11:30 AM Multiple Testing Procedure Consideration in Clinical Trials
Presentation
Rachael Wen, Sanofi
11:35 AM Practical Determining the Late Effect Parameter in Fleming-Harrington Test When a Delayed Treatment Effect Is Predicted
Yuichiro Kaneko, Astellas Pharma; Satoshi Morita, Kyoto University
11:40 AM Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Presentation
Elisa Sheng, Arivale
11:45 AM Optimal Testing Configurations for Group Testing
Presentation
Brianna D. Hitt, University of Nebraska-Lincoln; Christopher R. Bilder, University of Nebraska-Lincoln; Joshua M. Tebbs, University of South Carolina; Christopher S. McMahan, Clemson University
11:50 AM Common Risk Difference Test and Interval Estimation of Risk Difference for Stratified Bilateral Correlated Data
Presentation
Xi Shen, State University of New York At Buffalo; Changxing Ma, State University of New York At Buffalo; Guoliang Tian, Southern University of Science and Technology; Kam Chuen Yuen, The University of Hong Kong
11:55 AM Functional Data Analysis in Dose-Adjusted Tacrolimus Trough Concentration Modeling: A New Method to Compare Intrapatient Variance Between Patient Cohorts
Janet Kim, Astellas Pharma Global Development, Inc.; Sam Wilson, Astellas Pharma Global Development, Inc.; Jason J Schwartz, Astellas Pharma Global Development, Inc.
12:05 PM Design Considerations When Comparing Control, Treatment, and Treatment Plus in Randomized Trials
Presentation
Abigail Shoben, Ohio State University
 
 

344 *
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 223
Semiparametric Modeling — Contributed Papers
Biometrics Section
Chair(s): Jing Wang, The University of Texas at Arlington
10:35 AM Semiparametric Trend Analysis for Recurrent Event Data Under Weak Comparability
Presentation
Peng Liu, University of Alberta; Yijian Huang, Emory University; Kwun Chuen Gary Chan, University of Washington; Ying Qing CHEN, Fred Hutchinson Cancer Research Center
10:50 AM Semiparametric Estimation of the Mean and Coefficient of Variation of the Interevent Distribution of a Renewal Process from Cross-Sectional Count Data
Presentation
John D. Rice, University of Colorado, Denver; Robert L. Strawderman, University of Rochester; Brent A. Johnson, University of Rochester
11:05 AM An Application of Covariate-Adjusted Partial Spearman's Rank Correlations with Probability-Scale Residuals
Presentation
Cathy A Jenkins, Vanderbilt University Medical Center; John R Koethe, Vanderbilt University School of Medicine; Timothy R Sterling, Vanderbilt University School of Medicine; Spyros A Kalams, Vanderbilt University School of Medicine; Bryan E Shepherd, Vanderbilt University School of Medicine
11:20 AM The Welch's T-Test with Covariates
Cong Cao, The University of Texas at Dallas; Markus Pauly, Ulm University; Frank Konietschke, The University of Texas at Dallas
11:35 AM Conditional Quantile Inference with Zero-Inflated Outcomes
Wodan Ling, Columbia University; Ying Wei, Columbia University; Bin Cheng, Columbia University; Ken Cheung, Columbia University
11:50 AM Sample-Weighted Semiparametric Estimates of Cause-Specific Cumulative Incidence Using Left-/Interval Censored Data from Electronic Health Records
Presentation
Noorie Hyun, Medical College of Wisconsin; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute; Barry Ira Graubard, National Cancer Institute
12:05 PM Floor Discussion
 
 

358
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West Hall B
Contributed Poster Presentations: Biometrics Section — Contributed Poster Presentations
Biometrics Section
Chair(s): Paul McNicholas, McMaster University
2: Iterated Multi-Source Exchangeability Models
Roland Brown, University of Minnesota; Julian Wolfson, University of Minnesota
3: Inferring Multimotor Dynamics Through Cargo Tracking
Lauren Crow, Arizona State Univ
4: Contributions of the SMART Project to Dementia Research and Statistical Modeling
Richard Kryscio, Univ Of Kentucky; Erin L Abner, University of Kentucky; Peter T Nelson, University of Kentucky; David Fardo, University of Kentucky; Frederick A Schmitt, University of Kentucky
6: Using Synthetic Data to Incorporate External Information into Regression Model Estimation
Tian Gu, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan; Wenting Cheng, University of Michigan
7: Analyzing Correlated Rare Events Data in Rodent Developmental Toxicology Studies
Shawn Harris, Social & Scientific Systems; Keith R. Shockley, National Institute of Environmental Health Sciences; Helen C. Cunny, National Institute of Environmental Health Sciences
9: SuperLearning and Tree-Regression for Developing Treatment Rules That Optimize Health Outcomes
Andre Kurepa Waschka, University of California, Berkeley
10: Comparison of the Intrinsic Saturation of Firing Frequency in 4 Simple Neural Models
Charles Eugene Smith, North Carolina State University; Petr Lansky, Czech Academy of Sciences
11: On Survival Tree Under the Dependency Between Failure and Censoring
Asanao Shimokawa, Tokyo University of Science; Etsuo Miyaoka, Tokyo University of Science
12: Proteomics and Genomics Integration and Ovarian Cancer Survival
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Christopher Conley, University of California at Davis; Jie Peng, UC Davis; Pei Wang, Icahn School of Medicine at Mount Sinai
13: Adaptively Incorporating Supplemental Information in Clinical Trials in the Presence of Population Heterogeneity
Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Ales Kotalik, University of Minnesota; David Michael Vock, University of Minnesota
15: Variable Selection May Be Overrated
Tristan Grogan, UCLA; David Elashoff, UCLA
17: Using the Posterior Predictive Distribution as a Diagnostic Tool for Mixed Models
Matthew Kramer, StatGrp/ARS/USDA
18: Analyzing Longitudinal Clustered Count Data with Zero Inflation: Marginal Regression Modeling with Conway-Maxwell-Poisson Distribution
Tong Kang, University of Florida; Somnath Datta, University of Florida; Steven Levy, University of Iowa
19: Firth Adjustment for Parametric Current-Status Survival Analysis
Hung-Mo Lin, Icahn School of Medicine at Mount Sinai; JOHN M WILLIAMSON, Centers for Disease Control and Prevention; HAE-YOUNG KIM, New York Medical College
20: An Improved Inference Method for Multivariate Meta-Analysis and Meta-Regression
Hisashi Noma, The Institute of Statistical Mathematics
21: Nonlinear Models with Measurement Error: Application to Vitamin D
Brenna Curley, Moravian College
22: Analysis of Longitudinal Semicontinuous Data Using Marginalized Two-Part Model
Miran Jaffa, American University of Beirut; Mulugeta Gebregziabher, Medical University of South Carolina; Ayad A Jaffa, American University of Beirut
23: Barcoding of Hematopoietic Stem Cells: Application of the Species Problem
Siyi Chen, Rice Univ Dept of Statistics; Marek Kimmel, Rice University; Katherine King, Baylor College of Medicine
25: A flexible class of parametric distributions for Bayesian linear mixed models
Darren Wraith, Queensland University of Technology; Mohsen Maleki, Shiraz University; Reinaldo B. Arellano-Valle, Universidad Católica de Chile
 
 

366
Tue, 7/31/2018, 10:30 AM - 11:15 AM CC-West Hall B
SPEED: Recent Advances in Statistical Genomics and Genetics — Contributed Poster Presentations
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
22: ProxECAT: Proxy External Controls Association Test. a New Case-Control Gene Region Association Test Using Allele Frequencies from Public Controls
Audrey Hendricks, University of Colorado - Denver; Stephen Billups, University of Colorado - Denver; Hamish Pike, University of Colorado-Aschutz Medical Campus; Eleftheria Zeggini, Wellcome Trust Sanger Institute; Stephanie Santorico, University of Colorado - Denver; Inês Barroso, Wellcome Trust Sanger Institute; Josee Dupuis, Boston University School of Public Health
23: NanoStringDiffWeb: a Web-Based Tool for Differential Expression Analysis of NanoString NCounter Data
Tingting Zhai, University of Kentucky; Hong Wang, Eli Lilly and Company; Arnold Stromberg, University of Kentucky; Chi Wang, University of Kentucky; Jinpeng Liu, Markey Cancer Center, University of Kentucky; Isaac Hands, Markey Cancer Center, University of Kentucky; Eric B. Durbin, Markey Cancer Center, University of Kentucky; Heidi Weiss, Markey Cancer Center, University of Kentucky
24: Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
25: Visualization Methods for RNA-Sequencing Data Analysis
Lindsay Rutter, Iowa State University; Dianne Cook, Monash University
26: A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
27: Differences in Gene Silencing Effect of MiRNA and Methylation in Two Histologic Subtypes
Prabhakar Chalise, University of Kansas Medical Center
28: SAVER: Gene Expression Recovery for UMI-Based Single Cell RNA Sequencing
Mo Huang, University of Pennsylvania; Jingshu Wang, University of Pennsylvania; Mingyao Li, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
29: Dysregulated Expression of Glucose Metabolic Enzymes Is Associated with Poor Prognosis of Patients with Hepatocellular Cancer
Xiaoli Zhang, Ohio State University; Kalpana Ghoshal, The Ohio State University
30: An Ensemble RNA-Seq Differential Analysis Method for False Discovery Rate Control
Dongmei Li, University of Rochester; Ananta Paine, University of Rochester; Timothy D. Dye, University of Rochester
31: A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control
Jiyuan Hu, New York University School of Medicine; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
32: Penalized Latent Dirichlet Allocation Model in Single Cell RNA Sequencing
Xiaotian Wu, Brown University; Zhijin Wu, Brown University; Hao Wu, Emory University
35: Four-Step Cross-Validation Procedure in Biomarker Prognostic Cox Model Development
Jianying Zhang, Ohio State University; Lianbo Yu, Ohio State University; Charles L Shapiro, Mount Sinai Medical Center
36: Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
37: Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
39: Using Area Under PSD to Detect the Tumor Heterogeneity Difference with Single Cell Data
Yian Chen, Moffitt Cancer Center & Research Institute; Jiannong Li, Moffitt Cancer Center & Research Institute; Inna Smalley, Moffitt Cancer Center & Research Institute; Michael J Schell, Moffitt Cancer Center & Research Institute; Keiran S Smalley, Moffitt Cancer Center & Research Institute
40: Identifying Direct Targets with Knockdown Experiment: An Adaptive Approach Detecting Strong Signals
Leying Guan, Stanford University
Oral Presentations for this session.
 
 

Register CE_28C
Tue, 7/31/2018, 1:00 PM - 5:00 PM CC-East 11
Data Science for Statisticians (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Rafael Irizarry, Harvard University
Demand for data science education is surging and traditional courses, offered by statistics departments, are not meeting the needs of those seeking training. A popular recommendation for improvement is that computing should play a more prominent role. We agree with this recommendation, but also advocate that the main priority is to bring applications to the forefront. In this short course we will work through some real world data analysis examples and, in the process, introduce skills and concepts not typically taught in traditional courses. Examples include data wrangling, exploratory data analysis, data visualization, reproducible research, and machine learning. We will also introduce tidyverse tools such as dplyr and ggplot2. Throughout the course we focus on statistical thinking and three key skills needed to succeed in data science, which we refer to as creating, connecting, and computing. This course will be of interest to statisticians that want to gain data analysis skills as well as statisticians tasked with teaching a data science courses. Requirements: Understanding of Probability, Inference and R programming. You will need a laptop with the latest R and Rstudio installed and an Internet connection.
1:00 PM Data Science for Statisticians (ADDED FEE)
Rafael Irizarry, Harvard University
 
 

399 * !
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 115
Modern Methods and Applications for HIV/AIDS Research — Topic Contributed Papers
Biometrics Section
Organizer(s): Katie R Mollan, Center for AIDS Research, University of North Carolina at Chapel Hill
Chair(s): Katie R Mollan, Center for AIDS Research, University of North Carolina at Chapel Hill
2:05 PM Estimating Partial Correlations Between Logged HIV-RNA Measurements Subject to Detection Limits
Presentation
Robert Lyles, Emory University
2:25 PM Measuring Association Between Times from Treatment Initiation to Viral Failure and Regimen Change in HIV-Infected Persons
Presentation
Svetlana K. Eden, Vanderbilt University School of Medicine; Bryan E Shepherd, Vanderbilt University School of Medicine; Chun Li, Case Western Reserve University, Institute for Computational Biology
2:45 PM Assessing Individual and Disseminated Causal Package Effects in Network HIV Treatment and Prevention Trials
Presentation
Ashley Buchanan, University of Rhode Island; Donna Spiegelman, Harvard T.H. Chan School of Public Health; Sten Vermund, Yale University; Samuel Friedman, National Development and Research Institutes, Inc.; Judith Lok, Harvard T.H. Chan School of Public Health
3:05 PM Statistical Considerations When Working with Mathematical Models
Presentation
Sarah Holte, Fred Hutchinson Cancer Research Center; Chloe Krakauer, Universiry of Washington
3:25 PM Discussant: Robert A Parker, Harvard University Center for AIDS Research, Harvard Medical School, Massachusetts General Hospital
3:45 PM Floor Discussion
 
 

401 * !
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 114
Lead with Statistics: Case Studies and Methods for Learning and Improving Healthcare Through EHRs — Topic Contributed Papers
Biometrics Section
Organizer(s): Qingxia Chen, Vanderbilt University; Dandan Liu, Vanderbilt University Medical Center
Chair(s): Christopher Lindsell, Vanderbilt University
2:05 PM If it Is in the Electronic Health Record, Then it Must Be True
Presentation
Jareen Meinzen-Derr, Cincinnati Children's Hospital Med Center
2:25 PM Causal Inference Using EMRs with Missing Data: a Machine Learning Approach with an Application on the Evaluation of Implantable Cardioverter Defibrillators
Changyu Shen, Beth Israel Deaconess Medical Center, Harvard Medical School; Xiaochun Li, Indiana University; Zuoyi Zhang, Regenstrief Institute; Alfred E Buxton, Beth Israel Deaconess Medical Center
2:45 PM Improving Data Quality for Time-Varying Measurements in EHRs via Dynamic Interaction: a Case Study for Growth Chart
Presentation
Qingxia Chen, Vanderbilt University
3:05 PM Recalibrating Prognostic Risk Score Adapted to EHR Data
Dandan Liu, Vanderbilt University Medical Center; Hui Nian, Vanderbilt University Medical Center; Qingxia Chen, Vanderbilt University
3:25 PM Predicting Suicide Risk: Statistical Methods for Using EHR Data to Inform Mental Health Care
Rebecca Coley, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute; Rod Walker, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute
3:45 PM Floor Discussion
 
 

409 *
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 111
Survival Analysis I — Contributed Papers
Biometrics Section
Chair(s): Yu Du, Johns Hopkins Bloomberg School of Public Health
2:05 PM Choosing the Primary Efficacy Analysis for a Randomized Clinical Trial with Competing Risks
Presentation
Eric Leifer, National Heart, Lung, and Blood Institute; James Troendle, National Institutes of Health; Lauren Kunz, National Heart, Lung, and Blood Institute
2:20 PM Analysis of Competing Risk Data in Generalized Case-Cohort Design
Presentation
Yayun Xu, Medical College of Wisconsin; Soyoung Kim, Medical College of Wisconsin
2:35 PM General Regression Model for the Subdistribution of a Competing Risk Under Left-Truncation and Right-Censoring
Anna Bellach, Fred Hutch Cancer Research Center; Michael Kosorok, University of North Carolina at Chapel Hill; Peter Gilbert, Fred Hutchinson Cancer Research Center; Jason P Fine, University of North Carolina at Chapel Hill
2:50 PM A Class of Additive Transformation Models for Recurrent Gap Times
Ling Chen, Washington University in St. Louis; Yanqin Feng, School of Mathematics and Statistics, Wuhan University; (Tony) Jianguo Sun, University of Missouri
3:05 PM Penalized Survival Models for the Analysis of Alternating Recurrent Event Data
Presentation
Lili Wang, University of Michigan, Ann Arbor; Zhi He, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
3:20 PM A General Class of Weighted Semiparametric Models for Recurrent Event Data
Presentation
Russell Stocker, Indiana University of Pennsylvania; Akim Adekpedjou, Missouri University of Science and Technology
3:35 PM Semiparametric Transformation Probit Models with Current-Status Data
Jing Qin, National Institute of Allergy and Infectious Diseases, NIH; Hao Liu, Indiana University Melvin and Bren Simon Cancer Center
 
 

410 *
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 112
High-Dimensional Regression — Contributed Papers
Biometrics Section
Chair(s): Nathan Thomas James, Vanderbilt University
2:05 PM Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:20 PM The Generalized Ridge Estimator of the Inverse Covariance Matrix
Presentation
Wessel Van Wieringen, VU Medical Center
2:35 PM Constrained Regression via Majorization-Minimization
Jason Xu, UCLA; Kenneth Lange, UCLA
2:50 PM Simulation-Selection-Extrapolation Estimator for High-Dimensional Errors-In-Variables Models
Presentation
Linh Nghiem, Southern Methodist University; Cornelis Potgieter, Southern Methodist University
3:05 PM Finding Needles in a Hay Stack - an Approach for a Small-Number-Factor High-Dimensional Data
Presentation
Chi-Hse Teng
3:20 PM Hyperplane Estimation in High Dimensions
Presentation
Zhiyuan Lu, University of Michigan
3:35 PM Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
Presentation
Daniel Taylor Rodriguez, Portland State University; Andrew Oliver Finley, Michigan State University; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Chad Babcock, University of Washington; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center; Sudipto Banerjee, UCLA School of Public Health
 
 

436
Tue, 7/31/2018, 3:05 PM - 3:50 PM CC-West Hall B
SPEED: Tests, Trials, Biomarkers, and Other Topics in Biometrics — Contributed Poster Presentations
Biometrics Section, Biopharmaceutical Section, ENAR
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Some T-Tests for N-Of-1 Trials with Serial Correlation
Ji-Ling Tang, University of Arkansas for Medical Sciences; Reid D. Landes, University of Arkansas for Medical Sciences; Anne Holbrook, McMaster University; Mark S Mennemeier, University of Arkansas for Medical Sciences; J. Tyler Floyd, University of Central Arkansas
22: Some T-Tests for N-Of-1 Trials with Serial Correlation: Correction Factors for Trials with Few Observations
Reid D. Landes, University of Arkansas for Medical Sciences; Ji-Ling Tang, University of Arkansas for Medical Sciences; Mark S Mennemeier, University of Arkansas for Medical Sciences; J. Tyler Floyd, University of Central Arkansas; Anne Holbrook, McMaster University
23: Hybrid Cluster-Individual Randomization Allocation
Yi-Fan Chen, University of Illinois at Chicago; Jonathan Yabes, University of Pittsburgh
24: Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection
Matthew Higham
25: Using Logistical Regression to Build a Better Diathesis Model of Dupuytren's Contracture Recurrence
Brian Cohen, ACI Clinical
28: A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
29: An Estimation Method for Enzyme Kinetic Model Parameters Based on Bayesian Approach
Boseung Choi, Korea University; Jae Kyoung Kim, Korea Advanced Institute of Science and Technology; Grzegorz A Rempala, The Ohio State University
30: Statistical Precision of Time-to-Event Endpoint in Single Arm Observational Study Using Monte Carlo Simulation
Meijing Wu, AbbVie; Hongwei Wang, AbbVie Inc; Yabing Mai, AbbVie, Inc; Dajun Tian, Chiltern
31: Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
32: Practical Determining the Late Effect Parameter in Fleming-Harrington Test When a Delayed Treatment Effect Is Predicted
Yuichiro Kaneko, Astellas Pharma; Satoshi Morita, Kyoto University
33: Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
34: Optimal Testing Configurations for Group Testing
Brianna D. Hitt, University of Nebraska-Lincoln; Christopher R. Bilder, University of Nebraska-Lincoln; Joshua M. Tebbs, University of South Carolina; Christopher S. McMahan, Clemson University
35: Common Risk Difference Test and Interval Estimation of Risk Difference for Stratified Bilateral Correlated Data
Xi Shen, State University of New York At Buffalo; Changxing Ma, State University of New York At Buffalo; Guoliang Tian, Southern University of Science and Technology; Kam Chuen Yuen, The University of Hong Kong
36: Functional Data Analysis in Dose-Adjusted Tacrolimus Trough Concentration Modeling: A New Method to Compare Intrapatient Variance Between Patient Cohorts
Janet Kim, Astellas Pharma Global Development, Inc.; Sam Wilson, Astellas Pharma Global Development, Inc.; Jason J Schwartz, Astellas Pharma Global Development, Inc.
38: Design Considerations When Comparing Control, Treatment, and Treatment Plus in Randomized Trials
Abigail Shoben, Ohio State University
Oral Presentations for this session.
 
 

450
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 203
Inference with Clustered Data: Lessons from Multiple Disciplines — Invited Papers
Survey Research Methods Section, Business and Economic Statistics Section, Biometrics Section, SSC
Organizer(s): Stas Kolenikov, Abt Associates
Chair(s): David R Judkins, Abt Associates
8:35 AM Modeling Covariance Structure for Longitudinal Data
Presentation
Annie Qu, University of Illinois at Urbana-Champaign
9:00 AM How Clustered Standard Errors Are Changing Applied Econometrics
Presentation
James Gordon MacKinnon, Queen's University
9:25 AM Pseudo-Population Bootstrap Procedures for Multi-Stage Sampling Designs
Sixia Chen, University of Oklahoma; David Haziza, Université de Montréal
9:50 AM Discussant: Stas Kolenikov, Abt Associates
10:15 AM Floor Discussion
 
 

452 * !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 109
Advancements in Complex Functional Data Analysis — Invited Papers
ENAR, Biometrics Section, Section on Nonparametric Statistics, SSC
Organizer(s): Luo Xiao, North Carolina State University
Chair(s): Luo Xiao, North Carolina State University
8:35 AM Boosting Functional Response Models for Location, Scale, and Shape with an Application to Bacterial Competition
Almond Stöcker, LMU Munich; Sarah Brockhaus, LMU Munich; Sophia Schaffer, LMU Munich; Benedikt von Bronk, LMU Munich; Madeleine Opitz, LMU Munich; Sonja Greven, LMU Munich
9:00 AM Matrix Factorization Approaches to Analysis of Functional Count Data
Presentation 1 Presentation 2
Daniel Backenroth, Columbia University; Russell T Shinohara, University of Pennsylvania; Jeff Goldsmith, Columbia University
9:25 AM Longitudinal Dynamic Functional Regression: Modeling and Inference
Md Islam, North Carolina State University; Ana-Maria Staicu, NC State University; Eric van Heugten, North Carolina State University
9:50 AM Bayesian Regression Models for Big Spatially or Longitudinally Correlated Functional Data
Presentation
Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Lin Zhang, University of Minnesota; Hongxiao Zhu, Virginia Tech University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Hojin Yang, The University of Texas M.D. Anderson Cancer Center; Wonyul Lee, Food and Drug Administration; Michelle Miranda, The University of Texas M.D. Anderson Cancer Center; Philip Rausch, Humboldt University
10:15 AM Floor Discussion
 
 

454 * !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 110
Advances and Applications of Joint Modeling for Longitudinal and Time-To-Event Data — Invited Papers
WNAR, ENAR, Biometrics Section, SSC
Organizer(s): Peter Gilbert, Fred Hutchinson Cancer Research Center; Yunda Huang, Fred Hutchinson Cancer Research Center
Chair(s): Ross Prentice, Fred Hutchinson Cancer Research Center
8:35 AM A Nonlinear Model for Truncated and Mismeasured Time-Varying Covariates in Joint Models for Longitudinal and Survival Data
Presentation
Lang Wu, University of British Columbia
8:55 AM Joint Analysis of Multiple Highly Correlated Biomarkers and an Event Time via a Longitudinal Principal Component Approach
Gang Li, UCLA
9:15 AM Improve Risk Prediction Model Estimation with Longitudinal Surrogate Markers
Presentation
Yu Zheng, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
9:35 AM Assessing Pharmacokinetic Marker Correlates of a Failure Time Outcome, with Application to HIV Prevention Efficacy Trials
Presentation
Peter Gilbert, Fred Hutchinson Cancer Research Center; Lily Zhang, Fred Hutchinson Cancer Research Center; Erika Thommes, Fred Hutchinson Cancer Research Center; Yunda Huang, Fred Hutchinson Cancer Research Center
9:55 AM Discussant: Patrick James Heagerty, University of Washington
10:15 AM Floor Discussion
 
 

458 * !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 211
Small Data and N-Of-1 Trials: Developing Personalized Biostatistics for Personalized Medicine and Individualized Health Care Delivery — Invited Panel
Mental Health Statistics Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Naihua Duan, Columbia University; Richard L. Kravitz, University of California Davis
Chair(s): Naihua Duan, Columbia University
8:35 AM Small Data and N-of-1 Trials: Developing Personalized Biostatistics for Personalized Medicine and Individualized Health Care Delivery
Presentation 1 Presentation 2
Panelists: Christopher Schmid, Brown University
Deborah Estrin , Cornell Tech
Ying Kuen Ken Cheung, Columbia University
Mark Drangsholt, University of Washington
Richard L. Kravitz, University of California Davis
Xiao-Li Meng, Harvard University
10:10 AM Floor Discussion
 
 

464 !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 304/305
New Directions in Personalized Treatment Selection — Topic Contributed Papers
International Indian Statistical Association, ENAR, Biometrics Section
Organizer(s): Chathura Siriwardhana, University of Hawaii
Chair(s): Robert Lund, Clemson University
8:35 AM Multiplicity-Controlled Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, Ohio State University; Qi Tang, Sanofi; Peter Müller, University of Texas Austin; Brad Carlin, University of Minnesota
8:55 AM Q-Learning with Missing Data
Presentation
Lin Dong, North Carolina State University; Eric Laber, North Carlina State University
9:15 AM A Probability Based Method for Selecting the Optimal Personalized Treatment from Multiple Treatments
Presentation
Karunarathna B Kulasekera, University of Louisville; Chathura Siriwardhana, University of Hawaii; Somnath Datta, University of Florida
9:35 AM Constructing Stabilized Dynamic Treatment Regimes
Presentation
Guanhua Chen, University of Wisconsin-Madison; Ruoqing Zhu, University of Illinois Urbana-Champaign; Yingqi Zhao, Fred Hutchinson Cancer Research Center; Yingye Zheng, Fred Hutchinson Cancer Research Center
9:55 AM Selection of the Optimal Personalized Treatment from Multiple Treatments with Multivariate Outcome Measures
Presentation
Somnath Datta, University of Florida; Chathura Siriwardhana, University of Hawaii; Karunarathna B Kulasekera, University of Louisville
10:15 AM Floor Discussion
 
 

467 *
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 122
Statistical Advances for Cancer Genomics and Immunogenomics - from Single-Cell to Correlated Population — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, WNAR, SSC
Organizer(s): Qunhua Li, Penn State University
Chair(s): Ying Huang, Fred Hutchinson Cancer Research Center
8:35 AM Variability-Preserving Imputation for Accurate Gene Expression Recovery in Single Cell RNA Sequencing Studies
Presentation
Mengjie Chen, University of Chicago; Xiang Zhou, U of Michigan
8:55 AM ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data
Presentation
Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
9:15 AM Using RNA-Seq Data to Study Patients' Response on Tumor Immunotherapy
Wei Sun, Fred Hutchinson Cancer Research Center; Chong Jin, UNC-Chapel Hill; Paul Little, UNC Chapel Hill; Danyu Lin, University of North Carolina; Mengjie Chen, University of Chicago
9:35 AM A Discrete Threshold Model for the Clone Size Distribution of the Immune Repertoire
Qunhua Li, Penn State University; Hillary Koch, Penn State University; Dmytro Starenki, Hudson Alpha Institute for Biotechnology; Sara Cooper, HudsonAlpha Institute of Biotechnology; Rick Myers, HudsonAlpha Institute of Biotechnology
9:55 AM Sequencing Data, Repeated Measures and Genetic Heritability
Katerina Kechris, Colorado School of Public Health; Brian Vestal, National Jewish Health; Wen Jenny Shi, University of Colorado Anschutz Medical Campus; Pratyaydipta Rudra, University of Colorado at Denver; Pamela Russell, University of Colorado Anschutz Medical Campus; Laura Saba, University of Colorado Anschutz Medical Campus
10:15 AM Floor Discussion
 
 

474
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 209
SPEED: Infectious Disease, Environmental Epidemiology, and Diet — Contributed Speed
Section on Statistics in Epidemiology, Biometrics Section, Section for Statistical Programmers and Analysts
Chair(s): Kathleen Jablonski, George Washington University
Poster Presentations for this session.
8:35 AM A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Presentation
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
8:40 AM Multi-Frame Sampling Design for WTCHR
Sukhminder Osahan, NYC DOHMH
8:45 AM Application of Principal Components Analysis to Urine Metal and Metalloid Exposures in the National Health and Nutrition Examination Survey (NHANES) Data
Po-Yung Cheng, CDC; Robert L Jones, CDC; Kathleen L Caldwell, CDC
8:50 AM Statistical Approaches to Assess Early Life Exposure to Complex Mixtures and Associations with Latent Patterns of Neurodevelopmental Trajectories
Presentation
Shelley H. Liu, Icahn School of Medicine at Mount Sinai; Brent A. Coull, Harvard TH Chan School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai
8:55 AM A Data-Driven Approach for Assessing the Risk of Dengue Transmission Using High-Resolution Weather Data
Presentation
Chathurika Hettiarachchige, IBM Research - Australia; Roslyn Hickson, IBM Research - Australia; Stefan von Cavallar, IBM Research - Australia; Timothy Lynar, IBM Research - Australia; Manoj Gambhir, IBM Research - Australia
9:00 AM Trends of Influenza Vaccination Coverage Among Adult Populations, United States, 2010-2016
Presentation
Pengjun Lu, CDC/NCIRD/ISD/AB; Mei-Chuan Hung, CDC; Alissa O'Halloran, CDC; Helen Ding, CDC; Walter Williams, CDC; James Singleton , CDC
9:05 AM Longitudinal Regression Trees: An Application to Environmental Exposure and Growth
Brianna Heggeseth, Macalester College; Anna Neufeld, Williams College
9:10 AM Modeling Vertical Transmission of Canine Visceral Leishmaniasis in Foxhounds in the United States
Presentation
Marie Ozanne, University of Iowa
9:15 AM Comparison Between HIV Routine Testing Data and Sentinel Surveillance Data
Ben Sheng, Pennsylvania State University; Jeffrey Eaton, Imperial College London; Kimberly Marsh, UNAIDS; Mary Mahy, UNAIDS; Le Le Bao, Penn State University
9:20 AM Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Presentation
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
9:30 AM Causal Inference for Infectious Disease Interventions in Networks
Presentation
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
9:35 AM Online Sequential Monitoring of Disease Incidence Rates with an Application to the Florida Influenza-Like Illness Data
Presentation
Kai Yang, University of Florida; Peihua Qiu, University of Florida
9:40 AM Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Presentation
Charles B Hall, Albert Einstein College of Medicine; Rachel Zeig-Owens, Albert Einstein College of Medicine; Amy R. Kahn, Bureau of Cancer Epidemiology, New York State Department of Health; James Cone, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Jiehui Li, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Mark Farfel, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Robert Brackbill, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Paolo Boffetta, Icahn School of Medicine at Mount Sinai
9:45 AM Estimation of Outcome Trajectory Using Inverse Probability of Censoring Weighting When Data Are Missing Not at Random
Dustin Rabideau, Harvard T.H. Chan School of Public Health; Constantin T. Yiannoutsos, Indiana University Fairbanks School of Public Health; Ronald J. Bosch, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T.H. Chan School of Public Health
9:50 AM Impact of Distance Calculation Methods on Geospatial Analysis of Healthcare Access
Presentation
Sarah Lotspeich, Vanderbilt University; Robert E. Johnson, Vanderbilt University
9:55 AM Creating a Composite Score for Physical Activity Using Shape Constrained Additive Model
Eli Kravitz, Texas A&M Statistics; Raymond J. Carroll, Texas A & M University; Sarah Keadle, California Polytechnic State University
10:00 AM Supervised Robust Profile Clustering
Presentation
Briana Stephenson, University of North Carolina at Chapel Hill; Amy H Herring, Duke University Statistical Science; Andrew Olshan, University of North Carolina at Chapel Hill
10:05 AM On the Impact of Empty Clusters in Transgenerational Studies
Presentation
Glen McGee, Harvard University; Marianthi-Anna Kioumourtzoglou, Columbia University; Marc Weisskopf, Harvard University; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health
 
 

478 *
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 117
Missing Data — Contributed Papers
Biometrics Section
Chair(s): Jiawei Bai, Johns Hopkins University
8:35 AM Model Compatible Multiple Imputation Method for Minimizing the Impact of Covariate Detection Limit in Logistic Regression
Presentation
Shahadut Hossain, UAE University
8:50 AM Imputed Factor Regression for High-Dimensional Block-Wise Missing Data
Yanqing Zhang, Yunnan University; Niansheng Tang, Yunnan University; Annie Qu, University of Illinois at Urbana-Champaign
9:05 AM A Semiparametric Test of Missing at Random Using Instrumental Variables
Rui Duan, University of Pennsylvania; Jason Liang, National Institute of Allergy and Infectious Diseases; Cheng Yong Tang, Temple University; Yong Chen, University of Pennsylvania
9:20 AM Different Causes of Missing Values in a Randomized Clinical Trial of Kidney Decline: Implications for the Statistical Analysis Plan
Andrzej Galecki, University of Michigan; Cathie Spino, University of Michigan; Alessandro Doria, Joslin Diabetes Center; Michael Mauer, University of Minnesota
9:35 AM A Comparison of Multiple Imputation by Fully Conditional Specification and Joint Modeling for Generalized Linear Models with Covariates Subject to Detection Limits
Paul Bernhardt, Villanova University
9:50 AM Missing Imputation of Cancer Proteome with Iterative Prediction Model
Presentation
Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Weiping Ma, Icahn School of Medicine at Mount Sinai; Pei Wang, Icahn School of Medicine at Mount Sinai ; Lin Chen, University of Chicago
10:05 AM Addressing Missing Accelerometer Data with Functional Data Analysis (FDA)
Presentation
Patrick Hilden; Joseph Schwartz, Columbia University; Jeff Goldsmith, Columbia University
 
 

479 *
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 116
Survival Analysis II — Contributed Papers
Biometrics Section
Chair(s): Bo Fu, Astellas Pharma Inc.
8:35 AM Cox Regression Model Under Dependent Truncation with Applications to Studies of Neurodegenerative Diseases
Presentation
Lior Rennert, Clemson University; Sharon X Xie, University of Pennsylvania
8:50 AM Incorporating Intermediary Information in Cox Models of Randomized Clinical Trials: The Information Balanced Intermediary Cox Model
Presentation
James Troendle, National Institutes of Health; Eric Leifer, National Heart, Lung, and Blood Institute; Lauren Kunz, National Heart, Lung, and Blood Institute; Song Yang, NHLBI/NIH
9:05 AM Semiparametric Estimation of the Cure Fraction in Population-Based Cancer Survival Analysis
Presentation
Ennan Gu, University of South Carolina; Jiajia Zhang, University of South Carolina
9:20 AM Estimating Personal Cure in Colorectal Cancer Patients Using the SEER Data
Margaret Stedman, Stanford Univ
9:35 AM Weighted Log-Rank Test for Time-To-Event Data in Immunotherapy Trials with Random Delayed Treatment Effect and Cure Rate
Presentation
Shufang Liu, Astellas Pharma; Chenghao Chu, Indiana University, Fairbanks School of Public Health; Alan Rong, Data Science, Astellas Pharma Inc.
9:50 AM Genome-Wide Gaussian Process Regression for Survival Time Prediction
Presentation
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
10:05 AM Future Events Prediction with a Forward Intensity Function Approach
Presentation
Lili Zhu, Bristol-Myers Squibb; Temple University; Cheng Yong Tang, Temple University
 
 

491 * !
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 213
Causal Inference Within Reach: Pragmatic Approaches to Model Construction and Validation — Invited Papers
Health Policy Statistics Section, Social Statistics Section, Biometrics Section, Mental Health Statistics Section
Organizer(s): Booil Jo, Stanford University
Chair(s): Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health
10:35 AM Matching Methods for Causal Inference with Time-Series Cross-Section Data
Presentation
Kosuke Imai, Princeton University; Erik Wang, Princeton University; In Song Kim, MIT
10:55 AM Weighting-Based Sensitivity Analysis in Causal Mediation Studies: Interactive Tools for Analysts
Presentation
Guanglei Hong, University of Chicago; Xu Qin, University of Chicago; Fan Yang, University of Colorado Denver
11:15 AM Model Assessment in Causal Inference Using Explicit Validators
Presentation
Booil Jo, Stanford University
11:35 AM Discussant: Tyler VanderWeele, Harvard University
11:55 AM Discussant: Xiao-Li Meng, Harvard University
12:15 PM Floor Discussion
 
 

494 *
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West Ballroom A
Clinical Trial Design for Precision Oncology — Invited Papers
ENAR, Biopharmaceutical Section, Biometrics Section, SSC
Organizer(s): Mithat Gonen, Memorial Sloan Kettering Cancer Center
Chair(s): Mithat Gonen, Memorial Sloan Kettering Cancer Center
10:35 AM Evaluating the Statistical Properties of Bayesian Basket Trial Designs
Kristen May Cunanan, Memorial Sloan Kettering Cancer Center; Alexia Iasonos, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
11:05 AM Bayesian Uncertainty Directed Trial Designs
Lorenzo Trippa, Harvard
11:35 AM Discussant: Gary Rosner, Johns Hopkins University
12:05 PM Floor Discussion
 
 

504 *
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 110
Novel Dose-Finding Methods in the Development of Combination Therapies — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, ENAR
Organizer(s): Bo Huang, Pfizer Inc.
Chair(s): Jing Wang, Pfizer, Inc
10:35 AM Novel Model-Assisted Designs for Phase I Drug Combination Trials
Presentation
Ruitao Lin, MD Anderson Cancer Center
11:15 AM Improving Dose-Finding for Early Oncology Trials with Monotherapy and Combination Therapy
Zhen Zeng, Merck & Co.; Meihua Wang, Merck & Co.; Victoria Plamadeala Johnson, Merck & Co.; Cong Chen, Merck & Co.
11:35 AM AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago; Jiaying Lyu, Fudan Universtiy
11:55 AM Floor Discussion
 
 

505 *
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 206/207
Flexible Methods for Causality Research — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section
Organizer(s): Zhiwei Zhang, University of California at Riverside
Chair(s): Zhiwei Zhang, University of California at Riverside
10:35 AM Sharp Instruments for Classifying Compliers and Generalizing Causal Effects
Presentation
Edward Kennedy, Carnegie Mellon University
10:55 AM Matching Using Sufficient Dimension Reduction for Causal Inference
Yeying Zhu, University of Waterloo; Wei Luo, Baruch College
11:15 AM A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:35 AM Generalizability of Causal Inference in Observational Studies Under Retrospective Convenience Sampling
Presentation
Zonghui Hu, National Institute of Health; Jing Qin, National Institute of Allergy and Infectious Diseases, NIH
11:55 AM A Novel Result on Collaborative Double Robustness
Presentation
Ivan Diaz, Weill Cornell Medicine
12:15 PM Floor Discussion
 
 

520 *
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 114
Survival Analysis III — Contributed Papers
Biometrics Section
Chair(s): Xiaofei Hu, Abbvie
10:35 AM Analysis of Lethal Cancer Among a Cohort of Initially Disease-Free Women
Presentation
Bernard Rosner, Harvard Medical School; Elizabeth Poole, Sanofi
10:50 AM Time-To-Event Data with Time-Varying Biomarkers Measured Only at Study Entry, with Applications to Alzheimer's Disease
Catherine Lee, Kaiser Permanente Division of Research; Rebecca A. Betensky, Harvard School of Public Health
11:05 AM Estimating the Optimal Number and Location of Cut Points in Survival Analysis
Chung Chang, National Sun Yat-sen University
11:20 AM Transformed Dynamic Quantile Regression on Censored Data
Presentation
Tony Sit, The Chinese University of Hong Kong; Gongjun Xu, University of Michigan; Chi Wing George Chu, Columbia University
11:35 AM Group Sequential Tests of Treatment Effect on Survival and Cumulative Incidence at a Fixed Time Point
Presentation
Michael Martens, The Emmes Corporation; Brent Logan, Medical College of Wisconsin
11:50 AM Improving Testing and Description of Treatment Effect in Clinical Trials with Time-To-Event Outcomes
Presentation
Song Yang, NHLBI/NIH
12:05 PM Alternative Guarantees for Non-Inferiority and Equivalence Testing with a Data-Dependent Margin
Harlan Campbell, University of British Columbia
 
 

521 *
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 112
Model/Variable Selection — Contributed Papers
Biometrics Section
Chair(s): Jonathan Gillmore Ligo, Johns Hopkins Applied Physics Laboratory
10:35 AM Penalized Multiple Inflated Values Selection Method with Application to SAFER Data
Presentation
Qiuya Li, City University of Hong Kong; Kwok Fai TSO, City University of Hong Kong; Yang Li, Renmin University of China; Yichen Qin, University of Cincinnati; Travis Lovejoy, Oregon Health and Science University; Timothy Heckman, University of Georgia
10:50 AM Fast and Approximate Exhaustive Variable Selection for GLMs with APES
Presentation
Kevin Wang, The University of Sydney; Samuel Mueller, The University of Sydney; Garth Tarr, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:05 AM Functional Variable Selection for a Low-Dimensional Robotic Hand Prosthetic
Presentation
Jonathan Stallings, North Carolina State University; Ana-Maria Staicu, NC State University; Md Islam, North Carolina State University; Helen Huang, UNC Chapel Hill/North Carolina State University; Lizhi Pan, UNC Chapel Hill/NC State University; Dustin Crouch, University of Tennessee
11:20 AM Weighted Envelope Estimation to Handle Variability in Model Selection
Daniel J. Eck
11:35 AM Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Presentation
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:50 AM Floor Discussion
 
 

537
Wed, 8/1/2018, 10:30 AM - 11:15 AM CC-West Hall B
SPEED: Infectious Disease, Environmental Epidemiology, and Diet — Contributed Poster Presentations
Section on Statistics in Epidemiology, Biometrics Section, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: A Weighted Kernel Machine Regression Approach to Environmental Pollutants and Infertility
Zhen Chen, NICHD/NIH; Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Germaine Buck Louis, George Mason University
2: Multi-Frame Sampling Design for WTCHR
Sukhminder Osahan, NYC DOHMH
3: Application of Principal Components Analysis to Urine Metal and Metalloid Exposures in the National Health and Nutrition Examination Survey (NHANES) Data
Po-Yung Cheng, CDC; Robert L Jones, CDC; Kathleen L Caldwell, CDC
4: Statistical Approaches to Assess Early Life Exposure to Complex Mixtures and Associations with Latent Patterns of Neurodevelopmental Trajectories
Shelley H. Liu, Icahn School of Medicine at Mount Sinai; Brent A. Coull, Harvard TH Chan School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai
5: A Data-Driven Approach for Assessing the Risk of Dengue Transmission Using High-Resolution Weather Data
Chathurika Hettiarachchige, IBM Research - Australia; Roslyn Hickson, IBM Research - Australia; Stefan von Cavallar, IBM Research - Australia; Timothy Lynar, IBM Research - Australia; Manoj Gambhir, IBM Research - Australia
6: Trends of Influenza Vaccination Coverage Among Adult Populations, United States, 2010-2016
Pengjun Lu, CDC/NCIRD/ISD/AB; Mei-Chuan Hung, CDC; Alissa O'Halloran, CDC; Helen Ding, CDC; Walter Williams, CDC; James Singleton , CDC
7: Longitudinal Regression Trees: An Application to Environmental Exposure and Growth
Brianna Heggeseth, Macalester College; Anna Neufeld, Williams College
8: Modeling Vertical Transmission of Canine Visceral Leishmaniasis in Foxhounds in the United States
Marie Ozanne, University of Iowa
9: Comparison Between HIV Routine Testing Data and Sentinel Surveillance Data
Ben Sheng, Pennsylvania State University; Jeffrey Eaton, Imperial College London; Kimberly Marsh, UNAIDS; Mary Mahy, UNAIDS; Le Le Bao, Penn State University
10: Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
11: Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
12: Online Sequential Monitoring of Disease Incidence Rates with an Application to the Florida Influenza-Like Illness Data
Kai Yang, University of Florida; Peihua Qiu, University of Florida
13: Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Charles B Hall, Albert Einstein College of Medicine; Rachel Zeig-Owens, Albert Einstein College of Medicine; Amy R. Kahn, Bureau of Cancer Epidemiology, New York State Department of Health; James Cone, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Jiehui Li, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Mark Farfel, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Robert Brackbill, World Trade Center Health Registry, New York City Department of Health and Mental Hygiene; Paolo Boffetta, Icahn School of Medicine at Mount Sinai
14: Estimation of Outcome Trajectory Using Inverse Probability of Censoring Weighting When Data Are Missing Not at Random
Dustin Rabideau, Harvard T.H. Chan School of Public Health; Constantin T. Yiannoutsos, Indiana University Fairbanks School of Public Health; Ronald J. Bosch, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T.H. Chan School of Public Health
15: Impact of Distance Calculation Methods on Geospatial Analysis of Healthcare Access
Sarah Lotspeich, Vanderbilt University; Robert E. Johnson, Vanderbilt University
16: Creating a Composite Score for Physical Activity Using Shape Constrained Additive Model
Eli Kravitz, Texas A&M Statistics; Raymond J. Carroll, Texas A & M University; Sarah Keadle, California Polytechnic State University
17: Supervised Robust Profile Clustering
Briana Stephenson, University of North Carolina at Chapel Hill; Amy H Herring, Duke University Statistical Science; Andrew Olshan, University of North Carolina at Chapel Hill
18: On the Impact of Empty Clusters in Transgenerational Studies
Glen McGee, Harvard University; Marianthi-Anna Kioumourtzoglou, Columbia University; Marc Weisskopf, Harvard University; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health
Oral Presentations for this session.
 
 

554 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 301
Deep Learning and Statistical Modeling with Applications — Invited Papers
Biometrics Section, Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC
Organizer(s): Hongtu Zhu, University of Texas M.D. Anderson
Chair(s): Chuanhai Liu, Purdue University
2:05 PM Deep Learning in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
2:30 PM Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Presentation
Ying Nian Wu, UCLA
2:55 PM Think Deeper with Deep Learning
Presentation
Saratendu Sethi, SAS Institute Inc.
3:20 PM Weight Normalized Deep Neural Networks
Presentation
Xiao Wang , Purdue University; Yixi Xu, Purdue University
3:45 PM Floor Discussion
 
 

555 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 224
Using Surveys to Improve the Representativeness of Nonprobability Samples in Epidemiologic Studies — Invited Papers
Section on Statistics in Epidemiology, Survey Research Methods Section, Biometrics Section
Organizer(s): Yan Li, University of Maryland at College Park
Chair(s): Yan Li, University of Maryland at College Park
2:05 PM Combining Probability and Non-Probability Samples: Theory and Practice
Presentation
Michael Elliott, University of Michigan; Richard Valliant, University of Michigan; Jack Chen, SurveyMonkey
2:30 PM A Kernel Weighting Approach to Improve Population Representativeness of Epidemiological Cohort in the Analysis
Presentation
Lingxiao Wang, The Joint Program in Survey Methodology, University of Maryland, College Park; Barry Ira Graubard, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute; Yan Li, University of Maryland at College Park
2:55 PM Evaluating Disease Prediction Models Using a Cohort Whose Covariate Distribution Differs from That of the Target Population
Presentation
Alice S Whittemore, Stanford University
3:20 PM Population-Based Disease Risk Prediction Modeling Using National Survey, Clinical, and Registry Data: Application to Risk Prediction for Oropharyngeal Cancer in the US Population
Barry Ira Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute
3:45 PM Floor Discussion
 
 

557 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 306
Affordable Clinical Trials Through Innovative Technology — Invited Papers
Caucus for Women in Statistics, Society for Clinical Trials, Biometrics Section
Organizer(s): Dong-Yun Kim, NHLBI/NIH
Chair(s): Dong-Yun Kim, NHLBI/NIH
2:05 PM Adaptive Design of Affordable Clinical Trials Using Master Protocols in the Era of Precision Medicine
Tze Leung Lai, Stanford University
2:30 PM Achieving Regulatory Approvals Without a Randomized Control Study in Rare Infectious Disease
Presentation
Masanori Ito, Astellas Pharma; Misun Yu Lee, Astellas Pharma
2:55 PM Real-Time, Within-Person Randomization Using a Bandit Algorithm in a Clinical Trial
Susan Murphy, Harvard University
3:20 PM Discussant: Nancy Geller, NHLBI/NIH
3:45 PM Floor Discussion
 
 

569 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 121
Theory and Practice for Addressing Asymmetric Measures in Statistical Modeling — Topic Contributed Papers
WNAR, Biometrics Section, International Chinese Statistical Association
Organizer(s): Ying Lu, Stanford University; Milan Stehlik, Johannes Kepler University and University of Valparaiso
Chair(s): Lu Tian, Stanford University School of Medicine
2:05 PM On Modeling of Asymmetric Dependencies
Milan Stehlik, Johannes Kepler University and University of Valparaiso
2:25 PM Dependencies in Binary Regression Data Generated by Informed Sequential Dose Allocation
Presentation
Nancy Flournoy, University of Missouri; Assaf Oron, Instutue for Disease Modeling
2:45 PM Model Selection Criteria Based on Symmetrized Variants of Asymmetric Divergence Measures
Joseph Cavanaugh, University of Iowa
3:05 PM Discussant: Ying Lu, Stanford University
3:25 PM Floor Discussion
 
 

582 *
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 223
Random Effects and Mixed Models — Contributed Papers
Biometrics Section
Chair(s): James P. Howard, II, Johns Hopkins University Applied Physics Laboratory
2:05 PM Estimating Subject-Specific Rates of Change from Longitudinal Data
Christopher Morrell, Loyola University Maryland; Larry J. Brant, Loyola University Maryland; Majd AlGhatrif, NIA, NIH; Edward G. Lakatta, NIA, NIH
2:20 PM Fast Computation of Large-Scale Mixed Effects Models
Presentation
Norman Matloff, University of California at Davis; Robin Yancey, University of California, Davis
2:35 PM Bootstrap Tests Reflecting the Shape of Gradient Function for Assumption of Random Effect Distribution in Generalized Linear Mixed Models
Presentation
Hiroki Sakaguchi, Shionogi & Co., Ltd.; Takahiro Hasegawa, Shionogi & Co., Ltd.; Hideaki Watanabe, Shionogi & Co., Ltd.
2:50 PM A Shared Parameter Location Scale Mixed Effect Model for EMA Data Subject to Informative Missing
Presentation
Xiaolei Lin, The University of Chicago; Robin Mermelstein, University of Illinois at Chicago; Donald Hedeker, University of Chicago
3:20 PM A Multi-Level Mixed-Effects Model for Individual Participant Data Meta-Analysis with Outcomes from an Exponential Family
Presentation
Ying Zhang, Penn State College of Medicine; Vernon M Chinchilli, Penn State College of Medicine
3:35 PM Floor Discussion
 
 

604 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 206/207
Superbugs vs. Super-Statistics — Invited Papers
CHANCE, Biometrics Section, Biopharmaceutical Section
Organizer(s): Scott Evans, Harvard University
Chair(s): Toshi Hamasaki
8:35 AM Dynamic Treatment Regimens for Superbug Infections
Presentation
Dean Follmann, NIAID
9:05 AM Healthy Disruption for Diagnostic Studies Through Pragmatic Benefit:Risk Evaluation
Scott Evans, Harvard University; Ying Liu, Harvard University
9:35 AM Pragmatic Benefit:Risk Evaluation: Healthy Disruption for Clinical Trials
Presentation
Scott Evans, Harvard University; Ying Liu, Harvard University; Dean Follmann, NIAID
10:05 AM Floor Discussion
 
 

606 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 212
Genetic Data for Epidemiologic Inference During an Outbreak: Statistical Challenges and Solutions — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Forrest W Crawford, Yale School of Public Health
Chair(s): Forrest W Crawford, Yale School of Public Health
8:35 AM Informing HIV Prevention and Surveillance Efforts Using Large-Scale Molecular Transmission Cluster Inference
Presentation
Sergei Pond, Temple University; Joel Wertheim, University of California San Diego
8:55 AM Those Who Escaped Must Be Captured: Deconstructing Phylogenies and Transmission Trees in Infectious Disease Epidemiology
Presentation
Eben Kenah, The Ohio State University School of Public Health
9:15 AM Estimation and Comparison of Transmission Trees Using Sequence Data
Michelle Kendall, Oxford University; Caroline Colijn, Simon Fraser University
9:55 AM Discussant: Jacco Wallinga, Leiden University Medical Center and National Institute for Public Health and the Environment (NL)
10:15 AM Floor Discussion
 
 

608 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 213
Cross-Disciplinary Research on Statistical Genomics and Bioinformatics — Invited Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, National Institute of Statistical Sciences, SSC
Organizer(s): James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
Chair(s): Rebecca W Doerge, Carnegie Mellon University
8:35 AM What Has a Statistics Group Learned in Studying a Biological System
Presentation
Wing Hung Wong, Stanford University
9:00 AM Learning Nonconvex Hierarchical Interactions
Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:25 AM Bayesian Bi-Clustering Methods with Applications to Integrative Genomics and Genetics
Jun Liu, Harvard University; Yang Li, Vatic Labs; Jiexing Wu, Google
9:50 AM Discussant: Hongzhe Li, University of Pennsylvania
10:15 AM Floor Discussion
 
 

625 *
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 112
Personalized/Precision Medicine II — Contributed Papers
Biometrics Section
Chair(s): Junrui Di, Johns Hopkins Bloomberg School of Public Health
8:35 AM A Non-Parametric Statistical Test of Null Treatment Effect in Sub-Populations
Presentation
Lin Taft, GSK; Changyu Shen, Beth Israel Deaconess Medical Center, Harvard Medical School
8:50 AM Dynamic Prediction of Competing Risk Events using Landmark Sub-distribution Hazard Model with Multivariate Longitudinal Biomarkers
Presentation
Cai Wu, Merck & Co.; Liang Li, UT MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health
9:05 AM Multi-Response Based Personalized Treatment Selection for Multiple Treatments
Chathura Siriwardhana, University of Hawaii; Karunarathna B Kulasekera, University of Louisville
9:20 AM Estimating Clusters from Multivariate Binary Data via Hierarchical Bayesian Boolean Matrix Factorization
Zhenke Wu, University of Michigan; Livia Casciola-Rosen, Johns Hopkins University School of Medicine; Antony Rosen, Johns Hopkins University School of Medicine; Scott Zeger, Johns Hopkins Biostatistics
9:35 AM Treatment Heterogeneity and Treatment Eligibility Estimations Using Random Forest Methods
Presentation
Min Lu, University of Miami; Eugene H. Blackstone, Cleveland Clinic; Hemant Ishwaran, University of Miami
9:50 AM Lasso Estimation of Hierarchical Interactions for Analyzing Heterogeneous Treatment Effect
Presentation
Yu Du, Johns Hopkins Bloomberg School of Public Health; Ravi Varadhan, Johns Hopkins University
10:05 AM Accelerometry-Based Methods for Smartphone Proximity Detection
Presentation
Josh Barback, Harvard T. H. Chan School of Public Health; Nikita Raman, Dana-Farber Cancer Institute; Alexi Anne Wright, Dana-Farber Cancer Institute; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
 
 

655 *
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-West 116
Improving Power and Generalizability in Causal Effect Estimation Using Multicenter and Network Designs — Topic Contributed Papers
Biometrics Section, Canadian Statistical Sciences Institute, Caucus for Women in Statistics
Organizer(s): Mireille Schnitzer, University of Montreal
Chair(s): Lawrence McCandless, Simon Fraser University
10:35 AM Competing Effects of Indirect Protection and Clustering on the Power of a Cluster-Randomized Controlled Vaccine Trial
Presentation
Matthew Hitchings, Harvard School of Public Health
10:55 AM Marginal Structural Models to Estimate the Effects of Time-Varying Treatments on Clustered Outcomes in the Presence of Interference
Alisa Stephens-Shields, University of Pennsylvania; Jiwei He, US Food and Drug Administration; Marshall Joffe, University of Pennsylvania
11:15 AM The Impact of PEPFAR PMTCT Funding on Reduced Infant Mortality and Improved ANC Care in Kenya: a Quasi-Experimental Evaluation
Donna Spiegelman, Harvard T.H. Chan School of Public Health; Dale Barnhart, Harvard T.H Chan School of Public Health; Isaac Tsikhutsu , Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Fredrick Sawe , Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD ; Jane Muli, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Duncan Kirui, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; William Sugut, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Nareen Abboud, Office of the U.S. Global AIDs Coordinator and Health Diplomacy; Tiffany Hamm, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Peter Coakley, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Patrick W. Hickey, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Vanessa Wolfman, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Elizabeth Lee, U.S. Military HIV Research Program, Walter Reed Army Institute of Research
11:35 AM Methodological Considerations for the Analysis of Relative Treatment Effects in Multi-Drug-Resistant Tuberculosis from Fused Observational Studies
Presentation
Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre; Guanbo Wang, McGill University; Arman Alam Siddique, McMaster University; Asma Bahamyirou, Université de Montréal
11:55 AM On the Parameter Estimation and Modeling of Clustered Survival Data with Delayed Entry and Missing Covariates
Presentation
Hua Shen, University of Calgary
12:15 PM Floor Discussion
 
 

658 * !
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-West 122
Recent Statistical Advances in Genomic and Genetic Data Analysis — Topic Contributed Papers
Biometrics Section
Organizer(s): Minsun Song, Sookmyung Women's University
Chair(s): Minsun Song, Sookmyung Women's University
10:35 AM Heritability Informed Power Optimization (HIPO) Leads to Enhanced Detection of Genetic Associations Across Multiple Traits
Presentation
Guanghao Qi, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
10:55 AM A Statistical Framework for Cross-Tissue Transcriptome-Wide Association Analysis
Yiming Hu, Yale University
11:15 AM A Likelihood Ratio Test for Gene (G)-Environment (E) Interaction Based on the Trend Effect of a Genotype Under an Additive Risk Model Using the G-E Independence Assumption
Summer Han, Stanford University; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM A Mixed-Effects Model for Powerful Association Tests in Integrative Functional Genomics
Presentation
Yu-Ru Su, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA; Chongzhi Di, Fred Hutchinson Cancer Research Center
11:55 AM Detection of Signal Regions in Whole Genome Genotyping and Sequencing Association Studies Using Scan Statistics
ZILIN LI, Harvard T.H. School of Public Health; Xihong Lin, Harvard University
12:15 PM Floor Discussion