Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

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

Activity Details

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

12 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 224
Novel Statistical Methods for Analyzing Electronic Health Records and Biobank Data — Invited Papers
WNAR, International Chinese Statistical Association, ENAR
Organizer(s): Ran Tao, Vanderbilt University Medical Center
Chair(s): Ran Tao, Vanderbilt University Medical Center
2:05 PM	Retrospective Study Designs for Longitudinal Data Obtained from a Biobank-Linked Electronic Medical Record Presentation Jonathan Schildcrout, Vanderbilt University Medical Center
2:30 PM	Efficiently Controlling for Unbalanced Case-Control Ratios and Sample Relatedness for Binary Traits in PheWAS by Large Cohorts Presentation Seunggeun Lee, University of Michigan
2:55 PM	Scalable Methods for Association Analysis in Biobank Scale Data Sets Presentation Dajiang Liu, Penn State College of Medicine
3:20 PM	Enabling Phenotypic Big Data with PheNorm Presentation Sheng Yu, Tsinghua University; Yumeng Ma, Tsinghua University; Jessica Gronsbell, Harvard T.H. Chan School of Public Health; Tianrun Cai, Brigham and Women's Hospital; Ashwin Ananthakrishnan, Massachusetts General Hospital; Vivian Gainer, Partners HealthCare; Susanne Churchill, Harvard Medical School; Peter Szolovits, Massachusetts Institute of Technology; Shawn Murphy, Partners HealthCare; Isaac Kohane, Harvard Medical School; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard T.H. Chan School of Public Health
3:45 PM	Floor Discussion

13 *	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 222
Integrative Approaches for Analysis of Complex Phenotype and DNA Sequence Data — Invited Papers
ENAR, WNAR, Section on Statistics in Genomics and Genetics
Organizer(s): Dmitri Zaykin, National Institute of Environmental Health Sciences
Chair(s): Dmitri Zaykin, National Institute of Environmental Health Sciences
2:05 PM	Simultaneous Genetic Analysis of Sequence Data from a Pair of Organisms That Jointly Influence a Phenotype Mary Sara McPeek, University of Chicago; Miaoyan Wang, UC Berkeley
2:25 PM	Genetic Analysis of High-Dimensional Phenotypes Presentation Michael Philip Epstein, Emory University
2:45 PM	Rare Variant Prioritization Using Structure-Supervised Locus-Specific Tests Presentation Jung-Ying Tzeng, North Carolina State University; Rachel Marceau, North Carolina State University; Wenbin Lu, North Carolina State University
3:05 PM	Unified Sequence Based Association Tests Allowing for Multiple Functional Annotation Scores, and Applications to Meta-Analysis of Noncoding Variation in Metabochip Data Iuliana Ionita-Laza, Columbia University
3:25 PM	Discussant: Olga Vsevolozhskaya, University of Kentucky
3:45 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

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

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

55 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-East 16
Non-Proportional Hazards in Clinical Trials: Challenges and Opportunities — Topic Contributed Papers
Section on Statistical Graphics, Biopharmaceutical Section, International Society for Clinical Biostatistics, ENAR
Organizer(s): Junshan Qiu, FDA/CDER
Chair(s): Junshan Qiu, FDA/CDER
4:05 PM	Kaplan-Meier Based Methods to Address Non-Proportional Hazard Issues Presentation Bo Huang, Pfizer Inc.
4:25 PM	Design and Analysis of Survival Trials with Treatment Crossover Presentation Xiaodong Luo, Sanofi
4:45 PM	Case Studies of Non-Proportional Hazards in Oncology and Hematology Trials Jingjing Ye, FDA
5:05 PM	Design and Analysis of Cancer Immunotherapy Trials with Potential Violation of Proportional Hazards Assumption Xiaofei Wang, Duke University School of Medicine; Guangyu Yang , University of Michigan
5:25 PM	Discussant: Rajeshwari Sridhara, US Food and Drug Adminstration
5:45 PM	Floor Discussion

216796	Sun, 7/29/2018, 4:30 PM - 7:30 PM	CC-West 201
ENAR Executive Committee Meeting (Closed) — Other ICW
ENAR
Organizer(s): Jeff Morris, ENAR

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

110 * !	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 215/216
Assessing Treatment Effects for Life History Processes — Topic Contributed Papers
Biopharmaceutical Section, Mental Health Statistics Section, ENAR
Organizer(s): Mouna Akacha , Novartis Pharma AG
Chair(s): Mouna Akacha , Novartis Pharma AG
8:35 AM	Symptom Trials Vs Morbidity/Mortality Trials: Are Different Estimands Required? Presentation Steven Snapinn, Amgen, Inc.
8:55 AM	Recurrent Event Estimands: With or Without Competing Terminal Event Presentation Jiawei Wei, Novartis
9:15 AM	Assessment of a Treatment Effect for Recurrent Event Data in the Presence of a Terminal Event Presentation Philip Hougaard, Lundbeck
9:35 AM	Comparison of Event Rates Between On- and Off-Drug Treatment Periods for a Recurrent Adverse Event Presentation Brenda Crowe, Eli Lilly & Co.; Haoda Fu, Eli Lilly and Company; Yebin Tao, Eli Lilly and Company
9:55 AM	Discussant: Hsien-Ming James Hung, PhD, Food and Drug Administration
10:15 AM	Floor Discussion

112 *	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 122
Smoothing for Spatially and Temporally Indexed Data — Topic Contributed Papers
Royal Statistical Society, Section on Nonparametric Statistics, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Philip Reiss, University of Haifa
Chair(s): Michael Lavine, University of Massachusetts, Amherst
8:35 AM	Some Model-Building Tools for Gaussian Processes, Using an Approximate Form of the Restricted Likelihood Presentation Maitreyee Bose, University of Washington; James S. Hodges, University of Minnesota; Sudipto Banerjee, UCLA School of Public Health
8:55 AM	Flexible Group Difference Tests for Age-Varying Distributions Presentation Philip Reiss, University of Haifa
9:15 AM	Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC) Presentation Jaroslaw Harezlak, Indiana University Bloomington; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:35 AM	Methods for Large Scale Smooth Space Time Modeling Presentation 1 Presentation 2 Simon Wood
10:15 AM	Floor Discussion

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

142 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 217
Metabolomics Data Analytics - the New Frontier in Precision Medicine — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, ENAR, SSC
Organizer(s): Katerina Kechris, Colorado School of Public Health; Jean Yee Hwa Yang, University of Sydney, Australia
Chair(s): Jean Yee Hwa Yang, University of Sydney, Australia
10:35 AM	Hierarchical Processing for LC/MS Metabolomics Data Generated in Multiple Batches Douglas Walker, Emory University; Karan Uppal, Emory University; Dean Jones, Emory University; Tianwei Yu, Emory University
11:25 AM	Bayesian Network Models for Integrating Genetics and Metabolomics Data Presentation Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:50 AM	Discussant: Susmita Datta, University of Florida
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

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

216 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 206/207
Modern Bayesian Computing in Ecology — Invited Papers
ENAR, Section on Statistics and the Environment
Organizer(s): Mevin Hooten, Colorado State University
Chair(s): Perry Williams, Colorado State University
2:05 PM	Beyond the Black Box: Flexible Algorithm Programming for Ecological Models in NIMBLE Presentation Christopher Paciorek, University of California, Berkeley; Colin Lewis-Beck, Iowa State University; Perry de Valpine, UC Berkeley; Daniel B. Turek, Williams College; Lauren Ponisio, UC Riverside; Nick Michaud, UC Berkeley
2:25 PM	Exact Inference in Functional Regression: Estimating Hydrological Controls on Ecosystem Dynamics in an Antarctic Lake Presentation Radu Herbei, The Ohio State University; Corey J. Smith, The Ohio State University
2:45 PM	Hierarchical Computing for Hierarchical Models in Ecology Mevin Hooten, Colorado State University
3:05 PM	Modeling Your Way Out of Hierarchical Models in Ecology Presentation Ephraim Hanks, The Pennsylvania State University
3:25 PM	Not All Hierarchical Models Are Created Equal: Interpretation, Model Adequacy and Statistical Computation Presentation Matthew Schofield, University of Otago; Richard Barker, University of Otago
3:45 PM	Floor Discussion

217 *	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-East 16
Studying Psychiatric Disorders Using Statistical and Machine Learning Methods — Invited Papers
Mental Health Statistics Section, ENAR, WNAR, SSC
Organizer(s): Hongyuan Cao, University of Missouri-Columbia
Chair(s): Lei Liu, Washington University in St Louis
2:05 PM	SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble Presentation 1 Presentation 2 Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
2:30 PM	Statistical Methods for Integrative Analysis of Multi-Omics Data with Applications to Psychiatric Disorders Hongyuan Cao, University of Missouri-Columbia; Jun Chen, Mayo Clinic; Xianyang Zhang, Texas A&M University
2:55 PM	Statistical Challenges and Opportunities for Analysis of Massive Biobank Data Presentation Xihong Lin, Harvard University
3:20 PM	Analysis of Mental Disorder Omics Data: An Integrative Perspective Shuangge Ma, Yale University
3:45 PM	Floor Discussion

228 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 215/216
Innovative Statistical Designs with Real Life Case Studies for New Paradigms in Oncology Drug Development — Topic Contributed Papers
Biopharmaceutical Section, Society for Clinical Trials, ENAR
Organizer(s): Xiaoyun (Nicole) Li, Merck
Chair(s): Robert Beckman, Georgetown University
2:05 PM	An Application of 2-In-1 Adaptive Phase 2/3 Design for Expedited Oncology Drug Development Xinqun (Maggie) Chen, Merck & Co., Inc.; Linda Sun, Merck & Co., Inc.; Cong Chen, Merck & Co.
2:25 PM	A Generalized Design for a Confirmatory Basket Trial Presentation Robert Beckman, Georgetown University; Xiaoyun (Nicole) Li, Merck
2:45 PM	GBM AGILE: a Phase II/III Platform Design with Signature Identification Presentation Todd Graves, Berry Consultants LLC; Donald A Berry, Berry Consultants and M.D. Anderson Cancer Center; Jason Connor, ConfluenceStat LLC
3:05 PM	A Parametric Multiple Comparison Procedure for Clinical Trials with Planned Evaluation of Treatment Effect in Pre-Defined Subgroups and Interim Analyzes Presentation Liang Fang, MyoKardia; Ron Yu, Gilead Sciences, Inc.; Zhishen Ye, Gilead Sciences; Neby Bekele, Gilead Sciences; Ming Lin, Gilead Sciences
3:25 PM	Discussant: Yu Ding, Merck
3:45 PM	Floor Discussion

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.

273 * !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 206/207
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Statistics in Imaging, ENAR, IMS, SSC
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
8:35 AM	Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data Presentation Todd Ogden, Columbia University; Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University
9:00 AM	Multimodal Neuroimaging Analysis Lexin Li, University of California at Berkeley
9:25 AM	Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization Sean Jewell, University of Washington; Daniela Witten, University of Washington
9:50 AM	New Approaches Towards Translational Neuroimaging Martin A Lindquist, Johns Hopkins University
10:15 AM	Floor Discussion

276 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 222
Addressing Emerging Statistical Challenges in Microbiome Studies — Invited Papers
WNAR, ENAR, Section on Statistics in Genomics and Genetics
Organizer(s): Michael C. Wu, Fred Hutchinson Cancer Research Center
Chair(s): Michael C. Wu, Fred Hutchinson Cancer Research Center
8:35 AM	A Framework for Multivariate Causal Mediation Analysis with Microbiome Data Alexander V Alekseyenko, Medical University of South Carolina
9:05 AM	Analyzing Matched Sets of Microbiome Data Using the Linear Decomposition Model Presentation Glen Alan Satten, Centers for Disease Control and Prevention; Yijuan Hu, Emory University; Zhengyi Zhu, Emory University
9:35 AM	Trend Tests for Microbiome Data Abhishek Kaul, WSU; Shyamal Peddada, Univeristy of Pittsburgh; Siddhartha Mandal, Public Health Foundation of India; Ori Davidov , Haifa Univeristy
10:05 AM	Floor Discussion

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

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

296 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 121
Advances in Inference for Massive Spatio-Temporal Environmental Data with Applications in Remote Sensing — Topic Contributed Papers
ENAR, Section on Statistics and the Environment
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): Anirban Mondal, Case Western Reserve University
8:35 AM	Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data Wenlong Gong, Texas A&M University
8:55 AM	Multi-Resolution Filters for Massive Spatio-Temporal Data Marcin Jurek, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:15 AM	Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:35 AM	A Parametric Unmixing Model for Satellite Data Presentation Colin Lewis-Beck, Iowa State University
9:55 AM	Dynamic Fused Gaussian Process for Massive Sea Surface Temperature Data from MODIS and AMSR-E Instruments Emily L. Kang, University of Cincinnati; Pulong Ma, University of Cincinnati
10:15 AM	Floor Discussion

331 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 206/207
Statistical and Practical Issues for Reproducible Molecular Prediction in Biomedical Studies — Topic Contributed Papers
ENAR
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
10:35 AM	Simple Bootstrap and Simulation Approaches to Quantifying Reliability of High-Dimensional Feature Selection Frank Harrell, Vanderbilt University, Dept of Biostatistics
10:55 AM	The Impact of Different Sources of Heterogeneity on Loss of Accuracy from Genomic Prediction Models Levi Waldron, CUNY School of Public Health
11:15 AM	Quantification of Reproducibility: Leave-Study-Out Estimation Presentation Lo-Bin Chang
11:35 AM	DREAM Challenges: a Community Framework for Benchmarking Reproducible Biomedical Models Justin Guinney, Sage Bionetworks
11:55 AM	Estimating Directed Acyclic Graphs from High-Dimensional Data and Its Application in Biomarker Discoveries in Early Clinical Trials Presentation Hua Zhong, New York University; Jaehong Yu, NYU School of Medicine
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

360	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
Chair(s): Paul McNicholas, McMaster University
67:	Strategies for Adjusting for Urinary Creatinine or Serum Lipids When Exposure Is Measured on Pooled Specimens Min Shi, NIEHS; Clarice Weinberg, National Institute of Environmental Health Sciences; David Umbach, National Institute of Environmental Health Sciences; Katie O'Brien, National Institute of Environmental Health Sciences
68:	Performance of Df-Adjustment and HCCM Methods in Heteroscedastic Factorial ANOVA Models T. Beasley, University of Alabama, Birmingham
69:	A Subregion-Based Burden Test for Simultaneous Identification of Susceptibility Loci and Sub-Regions Within Bin Zhu, NIH/NCI; Lisa Mirabello, National Institutes of Health; Nilanjan Chatterjee, Johns Hopkins University
70:	Probabilistic or Deterministic Data Linkage? Experience from Linking Cancer Registry Data with Health Claims Data Bin Huang, University of Kentucky; Quan Chen, University of Kentucky

216426	Tue, 7/31/2018, 12:30 PM - 4:00 PM	F-Mackenzie I
RAB and RECOM Lunch Meeting — Other ICW
ENAR
Organizer(s): Jeff Morris, ENAR; Sarah Ratcliffe, ENAR

383 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 109
New Developments in Sensitivity Analysis for Unmeasured Confounding — Invited Papers
Section on Statistics in Epidemiology, ENAR, Health Policy Statistics Section
Organizer(s): Liangyuan Hu, Icahn School of Medicine at Mount Sinai
Chair(s): Chenyang Gu, Harvard Medical School
2:05 PM	Sensitivity Analysis in Multilevel Models Presentation Nicole Bohme Carnegie, Montana State University; Jennifer L Hill, New York University; Masataka Harada, Fukuoka University; Vincent Dorie, New York University
2:30 PM	Assessing Sensitivity to Unmeasured Confounding with Multiple Treatments and a Binary or Survival Outcome: A Bayesian Approach Presentation Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School; Michael Lopez , Skidmore College
2:55 PM	A Comparison of Bayesian and Monte Carlo Sensitivity Analysis for Unmeasured Confounding Presentation Lawrence McCandless, Simon Fraser University; Paul Gustafson, University of British Columbia
3:20 PM	Causal Inference Using a Bayesian Nonparametric Model with Informative Priors on Sensitivity Parameters Presentation Jason Roy, University of Pennsylvania
3:45 PM	Floor Discussion

385 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 110
Appropriate Estimators for Various Clinical Trial Estimands: Are We There Yet? — Invited Papers
Biopharmaceutical Section, ENAR, WNAR
Organizer(s): Pilar Lim, PhD, Janssen Research & Development, LLC
Chair(s): Yun Zhang, Janssen Research & Development, LLC
2:05 PM	What Do We Know About Estimators for the Treatment Policy Estimand? Presentation Elena Polverejan, Janssen R&D; Vladimir Dragalin, Janssen R&D
2:30 PM	Performance of Pattern Mixture Model Estimators with and Without Patient-Level Imputation Presentation Bohdana Ratitch, IQVIA; Ilya Lipkovich, IQVIA; Michael O'Kelly, IQVIA
2:55 PM	Undiluting the Treatment Effect Presentation Thomas Permutt, Food and Drug Administration
3:20 PM	Discussant: Craig Mallinckrodt, PhD, Eli Lilly and Company
3:45 PM	Floor Discussion

386 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 119
Recent Developments in Integrating Multiple-Omics Data in Complex Diseases — Invited Papers
ENAR, International Chinese Statistical Association, WNAR, SSC
Organizer(s): Li Hsu, Fred Hutchinson Cancer Research Center, USA; Yu-Ru Su, Fred Hutchinson Cancer Research Center
Chair(s): Yu-Ru Su, Fred Hutchinson Cancer Research Center
2:05 PM	Constructing Tumor-Specific Gene Regulatory Networks Based on Sample with Tumor Purity Heterogeneity Pei Wang, Icahn School of Medicine at Mount Sinai ; Francesca Petralia, Icahn School of Medicine at Mount Sinai; Li Wang, Icahn School of Medicine at Mount Sinai; Jie Peng, UC Davis
2:25 PM	A Multivariate Mixed-Effects Selection Model Framework for Batch-Processed Proteomics Data with Nonignorable Missingness Presentation Jiebiao Wang, Carnegie Mellon University; Pei Wang, Icahn School of Medicine at Mount Sinai ; Donald Hedeker, University of Chicago; Lin Chen, University of Chicago
2:45 PM	Variation and Genetic Control of Protein Abundance in Human Tissues Presentation Hua Tang, Stanford Dept. of Genetics
3:05 PM	A General Framework for Integrating GWAS Data with Molecular Endophenotypes Presentation Wei Pan, University of Minnesota
3:25 PM	A Versatile and Adaptive Multiple Functional Annotations-Based Association Test of Whole-Genome Sequencing Data Presentation Peng Wei, The University of Texas MD Anderson Cancer Center; Yiding Ma, The University of Texas MD Anderson Cancer Center
3:45 PM	Floor Discussion

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.

449 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-East 10
Recent Advances in Change-Point Detection and Segmentation — Invited Papers
Section on Nonparametric Statistics, IMS, ENAR
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): Rebecca Killick, Lancaster University
8:35 AM	High-Dimensional Change Point Estimation via Sparse Projection Presentation Tengyao Wang, University of Cambridge; Richard J Samworth, University of Cambridge
8:55 AM	Exact Spike Train Inference via $\Ell_0$ Optimization Daniela Witten, University of Washington; Sean Jewell, University of Washington
9:15 AM	Finite Alphabet Blind Separation Merle Behr, University of Goettingen; Axel Munk, University of Goettingen; Chris Holmes, University of Oxford
9:35 AM	Making Change-Point Detection Data-Adaptive Presentation Piotr Fryzlewicz, London School of Economics
9:55 AM	Detection and Estimation of Local Signals David O Siegmund, Stanford University
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

457 *	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 224
Statistical Methods for Remote Sensing Data — Invited Papers
Section on Physical and Engineering Sciences, Section on Statistics and the Environment, ENAR, Quality and Productivity Section
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): Maggie Johnson, SAMSI
8:35 AM	Simulation-Based Uncertainty Quantification for Optimal Estimation Remote Sensing Retrievals Presentation Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
9:05 AM	A General Framework for Vecchia Approximations of Gaussian Processes Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:35 AM	Joint Hierarchical Models for Sparsely Sampled High-Dimensional LiDAR and Forest Variables Presentation Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Sudipto Banerjee, UCLA School of Public Health; Bruce Douglas Cook, NASA Goddard Space Flight Center; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Douglas C Morton, NASA Goddard Space Flight Center
10:05 AM	Floor Discussion

461 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 202
Bugs, Bugs Everywhere - the Statistics Behind Our Microbiome — Topic Contributed Papers
Section on Statistical Graphics, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Ni Zhao, Johns Hopkins University
Chair(s): Michael C. Wu, Fred Hutchinson Cancer Research Center
8:35 AM	An Integrated Microbe-Metabolite Interaction Map Presentation Jing Ma, Fred Hutch Cancer Research Center
8:55 AM	Concomitant Regression Models for Microbiome Data Presentation Christian Mueller, Flatiron Institute; Aditya Mishra, Flatiron Institute; Patrick Combettes, North Carolina State University
9:15 AM	Interactive Statistical and Visual Analysis of Longitudinal Metagenomic Hector Corradoa Bravo, University of Maryland
9:35 AM	Compositional Knockoff Filter for FDR Control in Microbiome Regression Analysis Presentation 1 Presentation 2 Arun Srinivasan, Pennsylvania State Univ; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Xiang Zhan, Pennsylvania State University
9:55 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

477	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 213
SPEED: Bayesian Methods and Applications in the Life and Social Sciences — Contributed Speed
Section on Bayesian Statistical Science, ENAR
Chair(s): Leontine Alkema, University of Massachusetts Amherst
Poster Presentations for this session.
8:35 AM	Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments Presentation Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
8:40 AM	A Bayesian Meta-Analysis to Adjust Diagnostics Tests for Trend Analysis of Clostridium Difficile Infection in the Emerging Infections Program, U. S Presentation Yi Mu, Centers for Disease Control and Prevention
8:45 AM	Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models Presentation Xin Zhang, Pfizer (China) Research and Development Co., Ltd.; Scott Sisson, University of New South Wales
8:50 AM	Dirichlet Process Clustering for the Prediction of Housing Prices Presentation Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:55 AM	A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration Presentation Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
9:00 AM	A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment Presentation Yinghan Chen, University of Nevada, Reno; Steven Culpepper, University of Illinois at Urbana-Champaign
9:05 AM	Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis Presentation Luhang Han, University of Memphis; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton
9:10 AM	Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas Presentation Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
9:15 AM	Variable Selection and Cluster Identification Using Mixture of Regression Trees Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
9:20 AM	Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation Presentation Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
9:30 AM	Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks Wenna Xi, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
9:35 AM	Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
9:40 AM	A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data Presentation Jaron Lee, Australian National University
9:45 AM	Bayesian Adaptive Design of Phase 2 Dose-Finding Study Presentation Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
9:50 AM	Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors Heli Gao, Florida State University
9:55 AM	One Direction? On the Modeling of Circular Data Using Projected Normal Distributions Presentation Jolien Cremers, Utrecht University; Irene Klugkist, Utrecht University
10:05 AM	Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas Presentation Yuan Yu

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

539	Wed, 8/1/2018, 11:35 AM - 12:20 PM	CC-West Hall B
SPEED: Bayesian Methods and Applications in the Life and Social Sciences — Contributed Poster Presentations
Section on Bayesian Statistical Science, ENAR
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
2:	A Bayesian Meta-Analysis to Adjust Diagnostics Tests for Trend Analysis of Clostridium Difficile Infection in the Emerging Infections Program, U. S Yi Mu, Centers for Disease Control and Prevention
3:	Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models Xin Zhang, Pfizer (China) Research and Development Co., Ltd.; Scott Sisson, University of New South Wales
4:	Dirichlet Process Clustering for the Prediction of Housing Prices Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
5:	A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
6:	A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment Yinghan Chen, University of Nevada, Reno; Steven Culpepper, University of Illinois at Urbana-Champaign
7:	Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis Luhang Han, University of Memphis; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton
8:	Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
9:	Variable Selection and Cluster Identification Using Mixture of Regression Trees Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
10:	Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
11:	Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks Wenna Xi, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
12:	Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
13:	A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data Jaron Lee, Australian National University
14:	Bayesian Adaptive Design of Phase 2 Dose-Finding Study Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
15:	Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors Heli Gao, Florida State University
16:	One Direction? On the Modeling of Circular Data Using Projected Normal Distributions Jolien Cremers, Utrecht University; Irene Klugkist, Utrecht University
18:	Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas Yuan Yu
Oral Presentations for this session.

216427	Wed, 8/1/2018, 12:00 PM - 2:00 PM	CC-East 4
2019 Spring Meeting Planning Lunch — Other ICW
ENAR
Organizer(s): Jeff Morris, ENAR; Sarah Ratcliffe, ENAR

556	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 122
The State of Peer-Review and Publication in Statistics and the Sciences — Invited Papers
ENAR, Committee on Publications, Scientific and Public Affairs Advisory Committee, SSC
Organizer(s): Ryan Martin, North Carolina State University
Chair(s): Ryan Martin, North Carolina State University
2:05 PM	A World Without Referees Larry Wasserman, Carnegie Mellon University
2:30 PM	How Publishing Peer Review Histories Alongside Articles Promotes Ethical Publishing Practices Presentation Corina Logan, Max Planck Institute for Evolutionary Anthropology
2:55 PM	Continuous Improvement in Academic Publishing Hal Stern, University of California, Irvine
3:20 PM	Discussant: Harry Crane, Rutgers
3:45 PM	Floor Discussion

603 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 109
Statistical Inference for Precision Medicine and Subgroup Analysis — Invited Papers
ENAR, Health Policy Statistics Section, Social Statistics Section, Mental Health Statistics Section, SSC
Organizer(s): Minge Xie, Rutgers University
Chair(s): Xiao-Li Meng, Harvard University
8:35 AM	Inferential Challenges in Machine Learning and Precision Medicine Presentation Michael Kosorok, University of North Carolina at Chapel Hill
9:00 AM	Uncertainty Quantification of Treatment Regime in Precision Medicine by Confidence Distributions Presentation Minge Xie, Rutgers University; Yilei Zhan, Rutgers University; Sijian Wang, Rutgers University
9:25 AM	Bayesian Variable Selection in Subgroup Analysis Juan Shen, Fudan University; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Xuming He, University of Michigan
9:50 AM	Sample Size Considerations for Precision Medicine Eric Laber, North Carlina State University
10:15 AM	Floor Discussion

620 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 215/216
Axles for Voxels: Recent Statistical Advances in Neuroimaging Data Analysis — Topic Contributed Papers
ENAR, Section on Statistics in Imaging
Organizer(s): Dipankar Bandyopadhyay, Virginia Commonwealth University
Chair(s): Sourav Santra, Cytel
8:35 AM	A Time-Varying AR, Bivariate DLM of Functional Near-Infrared Spectroscopy Data Presentation Timothy Johnson, Univ of Michigan
8:55 AM	A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics Presentation Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
9:15 AM	Partition Mixture of 1D Wavelets for Multi-Dimensional Data with Application to Image Analysis Li Ma, Duke University; Meng Li, Rice University
9:35 AM	Non-Stationary High-Dimensional Time Series Networks for Brain Imaging Data Presentation Ivor Cribben, University of Alberta
9:55 AM	Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study Presentation Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
10:15 AM	Floor Discussion

629	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 218
New Developments in Nonparametric and Semiparametric Statistics — Contributed Papers
Section on Nonparametric Statistics, Royal Statistical Society, ENAR
Chair(s): Qing Wu, University of Nevada, Las Vegas
8:35 AM	Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths Presentation Nima Hejazi, Group in Biostatistics, UC Berkeley
8:50 AM	Measuring Lexical Dispersion in Corpus Linguistics Presentation Brent Burch, Northern Arizona University; Jesse Egbert, Northern Arizona University; Douglas Biber, Northern Arizona University
9:05 AM	A First-Order Multiresolution Analysis of Point Processes Presentation Youssef Taleb, Imperial College London; Edward A K Cohen, Imperial College London
9:20 AM	A Flexible Zero-Inflated Regression Model Eric Roemmele; Derek S. Young, University of Kentucky
9:35 AM	Wavelet Coherence for Multivariate Point Processes Presentation Edward A K Cohen, Imperial College London; Alex J Gibberd, Imperial College London
9:50 AM	An Integrated Bayesian Nonparameteric Method for Clustering of High-Dimensional Mixed Data Chetkar Jha, University of Missouri; Subharup Guha, University of Florida
10:05 AM	CRSP: Modeling Stochastically Intransitive Relationships Between NBA Teams Ryan Patrick Alexander McShane, Southern Methodist University; Ian Harris, Southern Methodist University

639 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 224
Causal Inference Meets Statistical Learning with Complex Data — Invited Papers
ENAR, Section on Statistics in Epidemiology, Social Statistics Section, SSC
Organizer(s): Zhiqiang Tan, Rutgers University
Chair(s): Michael Elliott, University of Michigan
10:35 AM	Augmented Minimax Linear Estimation Stefan Wager, Stanford University; David Hirshberg, Columbia University
11:00 AM	Targeted Learning for Causal Inference Presentation Mark van der Laan, UC Berkeley
11:25 AM	Regularized Calibrated Estimation of Propensity Scores with Model Misspecification and High-Dimensional Data Presentation Zhiqiang Tan, Rutgers University
11:50 AM	Discovering Effect Modification in Observational Studies Presentation Dylan Small, University of Pennsylvania; Jesse Yenchih Hsu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania; Kwonsang Lee, Harvard University; Jose Zubizarreta, Harvard University; Jeffrey Silber, University of Pennsylvania
12:15 PM	Floor Discussion

JSM 2018 Online Program

Activity Details

American Statistical Association