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

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

Keyword Search Criteria: multiple returned 229 record(s)

Sunday, 07/29/2018

Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data
Love Tanzy, University of Rochester Medical Center; Valeriia Sherina, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center

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

Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania

Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia

Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:05 PM

Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
2:15 PM

Literature-Guided Integration of Multiple GWAS Results Using Graph-GPA and DDNet
Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Zhenning Yu, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Hongyu Zhao, Yale
2:20 PM

Modeling Abundance of Multiple Species Using Latent Regression Tree Algorithms
Haoyu Zhang, Kansas State University; Trevor Hefley, Kansas State University; Brian R Gray, US Geological Survey; Kristin Bouska, USGS
2:25 PM

Measuring Judge Agreement for a High School Diving Competition
Monnie McGee, Southern Methodist University
2:35 PM

Joint Modeling of Multiple Time-To-Event Outcomes
Shanshan Zhao, National Institute of Environmental Health Sciences; Ross Prentice, Fred Hutchinson Cancer Research Center
2:45 PM

Enhancement of Transparency, Reproducibility, and Replicability in the Integration of Multiple Data Sources
John L. Eltinge, United States Census Bureau
2:55 PM

Optimal Multiple Confidence Regions
Edsel Pena, University of South Carolina; Taeho Kim, University of South Carolina
3:05 PM

Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
3:25 PM

Semiparametric Regression Methods for Temporal Processes Subject to Multiple Sources of Censoring
Douglas E. Schaubel, University of Michigan, Ann Arbor; Tianyu Zhan, AbbVie Inc.
3:25 PM

Clustering Multiple-View Data: Are Two Clusterings Independent?
Lucy Gao, University of Washington; Jacob Bien, University of Southern California; Daniela Witten, University of Washington
4:05 PM

Bayesian Overlapping Group Lasso: An Application in Jointly Modeling Multiple Genetic Pathways with Several Common Genes Between
Sounak Chakraborty, University of Missouri, Columbia
4:05 PM

A Gate-Keeping Test for Selecting Adaptive Interventions for Depression Management Under General SMART Designs
Xiaobo Zhong, Columbia University; Bin Cheng, Columbia University; Min Qian, Columbia University; Ying Kuen Ken Cheung, Columbia University
4:20 PM

Bootstrap Procedures for Detecting Multiple Persistence Shifts in a Heteroskedastic Time Series
Mohitosh Kejriwal, Purdue University; Xuewen Yu, Purdue University
4:20 PM

Hypothesis Tests of Mediation Under a Composite Null Hypothesis
Yen-Tsung Huang, Academia Sinica
4:30 PM

Multiple Imputation of Missing Income Data for the Redesigned National Health Interview Survey
Guangyu Zhang, National Center for Health Statistics; Yulei He, CDC/NCHS; Pavlina Rumcheva, National Center for Health Statistics ; Aaron Maitland, National Center for Health Statistics ; Suresh Srinivasan, National Center for Health Statistics ; Alain Moluh, NCHS; Matthew Bramlett, NCHS; Chris Moriarity, National Center for Health Statistics; Tina Norris, NCHS
4:45 PM

Closure Properties of Classes of Multiple Testing Procedures
Georg Hahn
4:50 PM

Integrated Reduced-Rank Models with Multiple Sets of Predictors
Gen Li, Columbia University; Kun Chen, University of Connecticut
4:55 PM

Side Effect Reduction of Prior and Processed Information on Survey Design
Abdellatif Demnati, Independent Researcher
5:05 PM

A Single-Index Model with Multiple-Links
Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University; Todd Ogden, Columbia University
5:05 PM

Generalized Linear Models with Multiple Longitudinal Covariate Processes
Erning Li, University of Iowa
5:35 PM

Monday, 07/30/2018

Control of Two-Dimensional False Discovery Rate by Combining Two Univariate Multiple Testing Results with Application to Mass Spectral Data
Jaesik Jeong; Johan Lim, Seoul National University; Yongrae Kim, Seoul National University; Jong Soo Lee, University of Massachusetts

What If We Get a Break in Series? Risk Management in the Integration of Multiple Data Sources
John L. Eltinge, United States Census Bureau

Combining Rules for F-Tests from Imputed Data
Ashok Chaurasia

Nonparametric Group Sequential Methods for Recurrent and Terminal Events from Multiple Follow-Up Windows
Meng Xia, University of Michigan; Susan Murray, University of Michigan; Nabihah Tayob, The University of Texas MD Anderson Cancer Center

Graph-Based Mixture Model: a Bayesian Approach to Combine Clustering and Hypothesis Testing
Tien Vo, University of Wisconsin - Madison; Vamsi Ithapu, University of Wisconsin - Madison; Vikas Singh, University of Wisconsin - Madison; Michael Newton, University of Wisconsin at Madison

Nonparametric Testing for Multiple Survival Functions with Non-Inferiority Margins
Hsin-wen Chang, Academia Sinica; Ian W. McKeague, Columbia University

Combining Inverse Probability Weighting and Multiple Imputation to Adjust for Selection Bias in Electronic Health Records-Based Research
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; David Arterburn, Kaiser Permanente Washington Health Research Institute

Multivariate Mediation Analysis with a Multi-Categorical Exposure Variable: An Application to Explore Racial and Ethnic Disparities in Obesity
Qingzhao Yu, Louisiana State University Health Sciences Ctr; Lin Zhu, Louisiana State University Health Sciences Ctr; Bin Li, Louisiana State University

A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa

Developing and Evaluating Methods for Estimating Race/Ethnicity in an Incomplete Dataset Using Address, Surname and Family Race
Gabriella Christine Silva, Brown University; Roee Gutman, Brown University

Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara

Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments
Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University

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

Estimating Average Causal Treatment Effects Utilizing Fractional Imputation When Confounders Are Subject to Missingness
Nathaniel Corder, North Carolina State University; Shu Yang, North Carolina State University

Gaussian Process Propensity Scores for Multiple Treatment Regimes
Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University

Leveraging Multiple Study Designs and Statistical Methods to Evaluate Comparative Effectiveness of Asthma Medications
Tebeb Gebretsadik, Vanderbilt University Medical Center; Pingsheng Wu, Vanderbilt University; Rees L Lee, U. S. Navy; Amber M Evans, Health ResearchTX LLC; Tan Ding, Vanderbilt University Medical Center; Nicholas M Sicignano, Health Research Tx ; Ann Wu, Harvard Medical School; Carlos Iribarren, Kaiser Permanente Division of Research; Butler Melissa, Kaiser Permanente; Chang Yu, Vanderbilt University Medical Center; William Dupont, Vanderbilt University Medical Center; Christina Fox, Health ResearchTx; Tina V Hartert, Vanderbilt University Medical Center

Integration of Multiple 'Omic Data Types for Screening Disease-Related Gene Sets with Applications in Lung Cancer
Su Hee Chu, Brigham and Women's Hospital and Harvard Medical School; Yen-Tsung Huang, Academia Sinica
8:35 AM

Impact on Statistical Power by Different Imputation Methods for Binary Endpoints with Missing Data
Xiaomei Liao, AbbVie Inc.; Jun Zhao, AbbVie; Bidan Huang, AbbVie Inc.
8:35 AM

Non-Parametric Bayesian Methods for Causal Inference with Multiple Treatments
Michael Lopez , Skidmore College ; Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School
8:35 AM

Detection of Local Discrepancies Between Two Spatio-Temporal Random Fields
Bo Li, University of Illinois at Urbana-Champaign; Xianyang Zhang, Texas A&M University; Sooin Yun, Univeristy of Illinois at Urbana-Champaign
9:00 AM

Inferring Low-Rank Population Structure from Multiple Network Samples
Keith Levin, University of Michigan; Asad Lodhia, University of Michigan; Elizaveta Levina, University of Michigan
9:05 AM

Comparison of Empirical Size and Power of Goodness-of-Fit Tests for Multiple Logistic Regression Model Under Varied Sample Size Conditions
Pengcheng Lu; Jonathan D Mahnken, University of Kansas Medical Center
9:05 AM

Assessing the Uncertainty Due to Chemicals Below the Detection Limit in Chemical Mixture Estimation
Paul Hargarten, VCU; David C. Wheeler, Virginia Commonwealth University
9:05 AM

Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
9:20 AM

Linking Medicare Current Beneficiary Survey (MCBS) to Augment Post-Market Real World Data from Medicare Claims: a Multiple Imputation Approach
Yun Lu, FDA; Xiyuan Wu, Acumen LLC; Yoganand Chillarige, Acumen LLC; Michael Wernecke, Acumen LLC; Hector Izurieta, FDA; Jeffrey Kelman, CMS; Richard Forshee , FDA
9:20 AM

Sample Size Considerations for Comparing Dynamic Treatment Regimens in a Sequential Multiple-Assignment Randomized Trial with a Continuous Longitudinal Outcome
Nicholas J Seewald, University of Michigan; Kelley M Kidwell, University of Michigan; James R McKay, University of Pennsylvania; Inbal Nahum-Shani, University of Michigan; Daniel Almirall, University of Michigan
9:35 AM

Outer Node FDR Control for Gene Ontology and Other Directed Acyclic Graphs
Eugene Katsevich, Stanford University; Chiara Sabatti, Stanford University; Marina Bogomolov, Technion
9:35 AM

Resampling-Based Control of the False Discovery Rate Incorporating Shrinkage Estimation for the Covariance Matrix
Josephine Sarpong Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
10:05 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
10:35 AM

ESTIMATING TREATMENT IMPORTANCE in MULTIDRUG-RESISTANT TUBERCULOSIS USING TARGETED LEARNING: AN OBSERVATIONAL INDIVIDUAL PATIENT DATA NETWORK META-ANALYSIS
Guanbo Wang, McGill University; Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre
10:35 AM

Challenges in Implementing a New Imputation Method into Production in the 2017 Economic Census or What to Do When the Research Approach Oversimplifies the Problem
Katherine J Thompson, U.S. Census Bureau; Willam Davie Jr., U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Scot Dahl, U.S. Census Bureau
10:35 AM

Joint Testing in High-Dimensional Instrumental Variables Regression with an Application to Genomics Data
Jiarui Lu, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
10:35 AM

Variance Estimation for Product Sales in the 2017 Economic Census: Challenges in Implementing Multiple Imputation-Based Variance Estimation
Matthew Thompson, U.S. Census Bureau; Katherine J Thompson, U.S. Census Bureau
10:55 AM

Likelihood Estimation of Large Species Trees from Multiple Samples Per Species, Using the Coalescent Process
Arindam RoyChoudhury, Cornell University
10:55 AM

Bayesian Design of Experiments with Multiple Priors for Kaggle Competition Design
Kevin Randal Quinlan, The Pennsylvania State University; Christine M Anderson-Cook, Los Alamos National Laboratory
11:05 AM

Matrix Decomposition for Modeling Multiple Sclerosis Lesion Development Processes
Menghan Hu, Brown University; Ani Eloyan, Brown University; Russell T. Shinohara, University of Pennsylvania Perelman School of Medicine; Ciprian Crainiceanu, Johns Hopkins University
11:05 AM

A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
11:10 AM

Constructing a Synthetic Population for Community Profiling Using Publicly Available Data
Joshua Goldstein, Social and Decision Analytics Laboratory, Virginia Tech; David Higdon, Virginia Tech
11:15 AM

Statistical Methods for Pooling Categorical Biomarkers from Multiple Studies
Xiao Wu, Harvard University; Molin Wang, Harvard T.H. Chan School of Public Health
11:20 AM

Embedding Observational Studies into Hypothetical Fractional-Factorial Experiments
Nicole Pashley, Harvard University; Marie-Abele Bind, Harvard University
11:35 AM

Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data
Ryo Emoto, Nagoya University Graduate School of Medicine; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:35 AM

Gaussian Process Propensity Scores for Multiple Treatment Regimes
Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine
11:50 AM

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM

Nonparametric Multiple Imputation for Bridging Between Different Industry Coding Systems
Jörg Drechsler, Institute for Employment Research; Birgit Pech, Amt für Statistik Berlin-Brandenburg
2:05 PM

Statistical Issues in the Design and Analysis of Sequencing Studies
Danyu Lin, University of North Carolina
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
2:05 PM

Further Improvements in Local FDR Based Grouped Hypotheses Testing
Shinjini Nandi, Temple University; SANAT SARKAR, Temple University
2:05 PM

A Meta-Analysis to Indirectly Compare Experimental Drugs Across Multiple Indications Using a Bayesian Hierarchical Model
Ji Lin, Eli Lilly; Jingyi Liu, Eli Lilly; Zachary Thomas, Eli Lilly; Yumin Zhao, Eli Lilly & Co.; Mythili Koneru, Eli Lilly
2:05 PM

Critical Steps for Composite Endpoint Analysis
Jerry J. Li, Merck & Co., Inc.
2:20 PM

The Inverse Gamma-Gamma Pior for Optimal Posterior Contraction and Multiple Hypothesis Testing
Ray Bai, University of Florida; Malay Ghosh, University of Florida
2:25 PM

Uses of Alternative Data Sources for Public Health Statistics and Policymaking: Challenges and Opportunities
Zachary H Seeskin, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Jaehoon Ahn, NORC at the University of Chicago; Joshua Williams, Office of the Assistant Secretary for Planning and Evaluation
2:25 PM

Statistical Considerations for Using Multiple Databases to Build a Biomarker Probability Tool
Feng Gao; Shijia Bian, Biogen; Wenting Wang, Biogen; Nancy Maserejian, Biogen; Judith Jaeger, Albert Einstein College of Medicine; Robert Robert Engle , Biogen; Timothy Swan, Biogen; James McIninch, Alnylam Pharmaceuticals; Feng Gao, Biogen
2:25 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
2:30 PM

Multiple Imputation for Adaptive Survey Design
Trivellore Raghunathan, University of Michigan
2:30 PM

Degrees of Freedom in Multiple Imputation: The Original vs. The Adjusted in 2015 National Hospital Ambulatory Medical Care Survey
Qiyuan Pan, CDC/NCHS/DHCS; Rong Wei, National Center for Health Statistics
2:30 PM

Sequential Multiple Testing with Generalized Error Control: An Asymptotic Optimality Theory
Yanglei Song, University of Illinois at Urbana-Champaign; Georgios Fellouris, University of Illinois at Urbana-Champaign
2:35 PM

A Bayesian Analysis of Small N Sequential Multiple Assignment Randomized Trials (SnSMARTs)
Boxian Wei, University of Michigan, Ann Arbor; Kelley M Kidwell, University of Michigan; Thomas M Braun, University of Michigan; Roy N Tamura, University of South Florida
2:40 PM

A Semiparametric Approach to Model Effect Modification
Muxuan Liang, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison
2:45 PM

A Cluster Elastic Net for Multivariate Regression
Ben Sherwood, University of Kansas; Bradley S Price, West Virginia University
2:50 PM

A Novel Association Testing Model Between Rare Variants and Multiple Discrete and Continuous Traits
Han Hao, University of North Texas; Xuexia Wang, University of North Texas
2:50 PM

Strategies for Analyzing Summary Variables in the Presence of Partially Missing Longitudinal Data
Jennifer Thompson, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University
2:50 PM

A Robust Multiple Imputation Approach to Causal Inference with Confounding by Indication
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan
2:55 PM

A Parametric Multiple Comparison Procedure for Clinical Trials with Planned Evaluation of Treatment Effect in Pre-Defined Subgroups and Interim Analyzes
Liang Fang, MyoKardia; Ron Yu, Gilead Sciences, Inc.; Zhishen Ye, Gilead Sciences; Neby Bekele, Gilead Sciences; Ming Lin, Gilead Sciences
3:05 PM

Multiple Imputation Strategies for Handling Missing Data When Generalizing Randomized Clinical Trial Findings Through Propensity Score-Based Methodologies
Albee Ling, Stanford University; Maya Mathur, Stanford University; Kris Kapphahn, Stanford University; Maria Montez-Rath, Stanford University; Manisha Desai, Stanford University
3:05 PM

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
3:15 PM

Limit Theorems and Theoretical Properties of General Multiscale Scan Statistics
Katharina Proksch, University of Goettingen; Frank Werner, Max Planck Institute for Biophysical Chemistry; Axel Munk, University of Goettingen
3:20 PM

Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan
3:20 PM

Imputation of Small Number of New Questions in the Large Survey
Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA
3:35 PM

Cross-Validation for Dependent Multiple Testing
Josh Price, University of Arkansas; Jyotishka Datta, University of Arkansas
3:35 PM

Tuesday, 07/31/2018

Methods to Handle Missing Outcome Data in Studies of Acute Illnesses Followed by Recovery
Dashiell Fellini Young-Saver, University of California, Los Angeles; Jeffrey Gornbein, University of California, Los Angeles; Sidney Starkman, University of California, Los Angeles; Jeffrey Lawrence Saver, University of California, Los Angeles

A Bayesian Adaptive Model-Based Approach for Dose Selection in a FGF21 2nd Gen Phase 1 Study
Yuping Dong

A Bayesian Semiparametric Model for Correlated Longitudinal Data: An Application to Studies Involving Patients and Family Members
Li-Jung Liang, UCLA

Use of Propensity Score and Disease Risk Score for Multiple Treatments with Time-To-Event Outcome
DI ZHANG, University of Pittsburgh; Jessica Kim, Division of Biometrics VII/Office of Biostatistics/CDER, FDA

An Evaluation of Statistical Methods with Missing Data in Small Clinical Trials
Takayuki Abe, Yokohama City University, School of Data Science; Kazuhito Shiosakai, Daiichi Sankyo Co., Ltd.; Manabu Iwasaki, Yokohama City University, School of Data Science

A Bayesian Model for Repeated Measures Count Data with Multiple Inflated Values
Benjamin Rogers, UCLA

Non-Inferiority Margins in Superiority/Non-Inferiority Seamless Clinical Trials
Ellen Gurary, Boston University; Joe Massaro, Boston University

Analyzing the Evolution of Media Narratives Following Mass Shooting Events Using Modern Bayesian Statistical Methods
Thomas Belin, UCLA; Jay Xu

STEPDOWN TESTING PROCEDURES for DOSE FINDING STUDY with ADAPTIVE DESIGN
Gang Jia, Merck & Co.

Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company

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

Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi

Comparison of Missing Data Methods in the Use of LASSO Regression for Model Selection with Applications to the National Trauma Data Bank
Sarah B Peskoe, Duke University; Tracy Truong, Duke University; Lily R Mundy, Duke University School of Medicine; Ronnie L Shammas, Duke University School of Medicine; Scott T Hollenbeck, Duke University School of Medicine

Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute

Imputation of Small Number of New Questions in the Large Survey
Di Xiong, UCLA SPH; Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA

A Probabilistic Linkage Approach for Combining VA and State Prescription Drug Databases for Evaluating Veterans' Receipt of Long-Term Opioid Therapy Across Multiple Systems
Larry Cook, University of Utah; Tess A Gilbert, HSR&D Center to Improve Veteran Involvement in Care ; Kathleen F Carlson, HSR&D Center to Improve Veteran Involvement in Care

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel

Multiple Imputation Methods Addressing Planned Missingness in a Multi-Phase Survey
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan; Paul Imbriano, University of Michigan

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
8:35 AM

Model-Based Cluster Analysis and Outlier Detection
Cristina Tortora, San Jose State University; Antonio Punzo, University of Catania
8:35 AM

Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
8:35 AM

Desirability Functions for Evaluating Clinical Trial Design Quality
Priscilla K Yen, UCLA; Weng Kee Wong, UCLA
8:50 AM

The Myth of Making Inference for Overall Treatment Efficacy with Data from Multiple Studies via Meta-Analysis
Brian Claggett, Harvard Medical School
8:55 AM

STEPDOWN TESTING PROCEDURES for DOSE FINDING STUDY with ADAPTIVE DESIGN
Gang Jia, Merck & Co.
8:55 AM

Optimal Approach for Addressing Multiple Stakeholders' Requirements in Drug Development
Zoran Antonijevic
8:55 AM

Multimodal Neuroimaging Analysis
Lexin Li, University of California at Berkeley
9:00 AM

A Confirmatory Basket Trial Design for Multiple Tumor Types Based on Conditional Power
Huiling Li; Jianming Wang, Celgene Corporation; Yeongjin Gwon, University of Connecticut; Xiaolong Luo, Celgene Corporation
9:05 AM

Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company
9:10 AM

Imputation Methods for Individual Participant Data Meta-Analysis
Eloise Kaizar, Ohio State University; Deborah Kunkel, The Ohio State University
9:15 AM

Robust Score Tests with Missing Data in Genomics Studies
Kin Yau Wong, Hong Kong Polytechnic University; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
9:20 AM

Functional Regression Models with Highly Irregular Designs
Justin Petrovich, Pennsylvania State University; Matthew Reimherr, Pennsylvania State University; Carrie Daymont, Penn State Hershey Medical Center
9:20 AM

Robust Group LASSO Methods
Kristin Lilly, Columbus State University; Nedret Billor, Auburn University
9:35 AM

Re-Use of Multiple Nested Case Control Studies from the Women's Health Initiative
Erinn Hade, Ohio State University; Theodore M. Brasky, The Ohio State University
9:35 AM

Multiplicity Adjustment for Multiple Endpoints Testing in Overall and Subgroup Populations
Libo Sun, Janssen Pharmaceutical R&D; Grace Liu, Johnson & Johnson; Rui Qin, Janssen Pharmaceutical R&D
9:35 AM

The Screening and Ranking Algorithm for Change-Points Detection in Multiple Samples
Heping Zhang, Yale University School of Public Health
10:35 AM

Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
11:30 AM

Estimation of Treatment Effect in Enriched Clinical Trials: Application to Multiple Sclerosis
Rachel MacKay Altman, Simon Fraser University
11:35 AM

Improved Accuracy Assessment for 3D Genome Reconstructions
Mark Segal, UCSF
11:50 AM

Imputation Approaches for Animal Movement Modeling
Henry Scharf, Colorado State University; Mevin Hooten, Colorado State University; Devin Johnson, Alaska Fisheries Science Center (NOAA)
2:05 PM

Change-Detection-Assisted Multiple Testing for Spatiotemporal Data
Lilun Du, HKUST; Yunlong Wang, Nankai University; Changliang Zou, Nankai University; Zhaojun Wang, Nankai University
2:05 PM

Multivariate Analysis of Sensory and Consumer Data
Jianfeng Ding, SAS Institute
2:05 PM

Bayesian Record Linkage Under Limited Linking Information
Mingyang Shan, Brown University; Roee Gutman, Brown University; Kali Thomas, Brown University
2:25 PM

Assessing Sensitivity to Unmeasured Confounding with Multiple Treatments and a Binary or Survival Outcome: A Bayesian Approach
Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School; Michael Lopez , Skidmore College
2:30 PM

Inference on the Treatment Effect in Non-Randomized Pretest-Posttest Studies with Missing Data: An Empirical Likelihood Approach
Shixiao Zhang, University of Waterloo; Peisong Han, University of Michigan; Changbao Wu, University of Waterloo
2:35 PM

Testing Strategy in Phase 3 Trials with Multiple Doses
David Li, Pfizer; Simon Kirby, Pfizer
2:35 PM

Detecting Multiple Generalised Change-Points by Isolating Single Ones
Andreas Anastasiou, London School of Econ. and Pol. Science; Piotr Fryzlewicz, London School of Economics
2:35 PM

A Comprehensive/Comparative Review of Cut-Point Selection Methods for Multiple Class Settings
Jia Hua, State University of New York At Buffalo; Lili Tian, SUNY at Buffalo
2:35 PM

Fusing Multiple Existing Space-Time Land Cover Products
Amanda Hering, Baylor University; Nicolás Rodríguez-Jeangros, Colorado School of Mines; John McCray, Colorado School of Mines; Timothy Kaiser, Colorado School of Mines
3:05 PM

New Multiple Hypotheses Testing Procedures Based on Covering Principle
Hong Zhou, Arkansas State University; Huajiang Li, Avanir Pharmaceuticals
3:20 PM

A Versatile and Adaptive Multiple Functional Annotations-Based Association Test of Whole-Genome Sequencing Data
Peng Wei, The University of Texas MD Anderson Cancer Center; Yiding Ma, The University of Texas MD Anderson Cancer Center
3:25 PM

Improving the Quality and Value of Statistical Information: Fourteen Questions on Management
John L. Eltinge, United States Census Bureau
4:05 PM

Wednesday, 08/01/2018

Small Data, N-of-1 Trials, and Personalized Medicine
Naihua Duan, Columbia University; Richard L. Kravitz, University of California Davis

A Latent Class Analysis to Identify Subgroups of Heart Failure Under Missingness And/Or Uncertainty in the Indicator Variables
Wendimagegn Alemayehu, University of Alberta; Cynthia M Westerhout, University of Alberta; Jason R Dyck, University of Alberta; Todd Anderson, University of Calgary; Justin A Ezekowitz, University of Alberta

Bias Analysis of Current Approaches to Estimating Combined Population Attributable Risk for Multiple Risk Factors
Yibing Ruan, Alberta Health Services; Stephen D. Walter, McMaster University; Darren R. Brenner, Alberta Health Services; Christine M. Friedenreich, Alberta Health Services; on behalf of ComPARe Study Team, Alberta Health Services

Switching Regimes Time Series Models with Application to Changes Brain Connectivity in an fMRI-Movie Experiment
Marco Antonio Pinto-Orellana, Statistics, CEMSE Division. King Abdullah University of Science and Technology; Chee-Ming Ting, King Abdullah University of Science and Technology; Jeremy Skipper, Institute for Multimodal Communication. University College London; Steven Small, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology

Assessing Equivalent and Inverse Change in Genomic Data from Multiple Experiments: a New Approach to Functional Analysis
Jeffrey Thompson, The University of Kansas Medical Center

Pairwise Comparisons for Ethnic Race Disparity in Reporting Sexually Transmitted Disease Among U.S. Male and Female Active Duty Military Members
Tzu-Cheg Kao, Uniformed Services University; Brian Agan, Uniformed Services University of the Health Sciences; Yu-Han Cheng, Uniformed Services University of the Health Sciences; Eric Garges, Uniformed Services University of the Health Sciences

An Automated Probabilistic Algorithm for the Detection of Central Vein Sign in Multiple Sclerosis
Jordan Dworkin, University of Pennsylvania; Pascal Sati, National Institute of Neurological Disorders and Stroke; Andrew Solomon, University of Vermont; Dzung Pham, Henry M. Jackson Foundation; Richard Watts, University of Vermont; Melissa Martin, University of Pennsylvania; Daniel Ontaneda, Cleveland Clinic; Matthew K Schindler, National Institute of Neurological Disorders and Stroke; Daniel S Reich, National Institute of Neurological Disorders and Stroke; Russell T Shinohara, University of Pennsylvania

A Hierarchical, Multiple-Testing Framework for High-Dimensional Data Analysis and Application to Flow Cytometry
John Pura

The Impact of Analysis Method and Model Specification for Handling Missing Covariate Data in Survival Analysis: a Case Study
Evon Okidi, Brown University; Joseph W Hogan, Brown University School of Public Health; Chanelle Howe, Brown University

Reducing the Effects of Misclassification in Sequential Multiple Assignment Randomized Trials (SMART)
Jun He, Virginia Commonwealth University; Donna McClish, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University

Analysis of Multiple Thresholds in a Responder Analysis of Patient-Reported Outcome Measures
Lysbeth Floden, Clinical Outcome Solutions; Melanie L Bell, University of Arizona; Stacie Hudgens, Clinical Outcome Solutions

Omnibus Embeddings for Mutliple Graph Inference
Avanti Athreya, Johns Hopkins University; Keith Levin, University of Michigan; Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Vince Lyzinski, University of Massachusetts Amherst
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
8:35 AM

Joint Modeling of Multiple RNA-Seq Samples for Accurate Isoform Quantification
Wei Li, University of California, Los Angeles; Jingyi Li, University of California, Los Angeles; Anqi Zhao, Harvard University; Shihua Zhang, Chinese Academy of Sciences
8:35 AM

Model Compatible Multiple Imputation Method for Minimizing the Impact of Covariate Detection Limit in Logistic Regression
Shahadut Hossain, UAE University
8:35 AM

Pleiotropy Informed Adaptive Association Test of Multiple Traits Using GWAS Summary Data
Maria Masotti, University of Minnesota ; Baolin Wu, University of Minnesota ; Bin Guo, University of Minnesota
8:50 AM

A Simulation Study of Process Capability Analysis on Processes with Multiple Normal Distributions
Laura Lancaster, SAS Institute Inc.
8:50 AM

Joint Analysis of Multiple Highly Correlated Biomarkers and an Event Time via a Longitudinal Principal Component Approach
Gang Li, UCLA
8:55 AM

Mortality Prediction with Multiple Unordered Treatments for Aortic Valve Replacement
Samrachana Adhikari, Harvard Medical School; Sherri Rose, Harvard Medical School; Sharon-Lise Normand, Harvard University; Jordan Bloom, Harvard Medical School; David Shahian, Harvard Medical School; Jake Spertus, Harvard Medical School
8:55 AM

Multiply Imputing Missing Values Arising by Design in Transplant Survival Data
Robin Mitra, University of Lancaster
9:05 AM

Considerations on MCPMod-Type Methods for Proof of Concept in Multi-Armed Studies
Tobias Mielke, Janssen-Cilag GmbH
9:05 AM

A Probability Based Method for Selecting the Optimal Personalized Treatment from Multiple Treatments
Karunarathna B Kulasekera, University of Louisville; Chathura Siriwardhana, University of Hawaii; Somnath Datta, University of Florida
9:15 AM

Multiple Imputation of Probabilistic Linkage of Employers in Survey and Administrative Data: Creating CenHRS
Dhiren Patki, University of Michigan
9:35 AM

Selection of Proposal Distributions for Multiple Importance Sampling
Vivekananda Roy, Iowa State University; Evangelos Evangelou, University of Bath
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
9:35 AM

A New Kernel-Based Method for Multiple-Loci Meta-Analysis
Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University; Xiaoxi Shen
9:35 AM

Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM

Selection of the Optimal Personalized Treatment from Multiple Treatments with Multivariate Outcome Measures
Somnath Datta, University of Florida; Chathura Siriwardhana, University of Hawaii; Karunarathna B Kulasekera, University of Louisville
9:55 AM

Composite Endpoints in Clinical Trials with Multiple Correlated Dichotomous Outcomes
Boris Zaslavsky, FDA/CBER
10:05 AM

Semiparametric Monitoring Test Based on Clustered Data
Jiahua Chen, University of British Columbia; Pengfei Li, University of Waterloo; yukun liu, East China Normal University; Jim Zidek, University of British Columbia
10:35 AM

Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions
Tianxi Cai, Harvard T.H. Chan School of Public Health; Yin Xia, Fudan University; Tianwen Cai, University of Pennsylvania
10:35 AM

Penalized Multiple Inflated Values Selection Method with Application to SAFER Data
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
10:35 AM

Testing One Hypothesis Multiple Times: The Multidimensional Case
Sara Algeri, Imperial College London; David A van Dyk, Imperial College London
10:35 AM

Analysis of Lethal Cancer Among a Cohort of Initially Disease-Free Women
Bernard Rosner, Harvard Medical School; Elizabeth Poole, Sanofi
10:35 AM

Asymptotic MinP Method for Responder Analysis
Ming Zhou, Bristol-Myers Squibb Company; Mark Donovan, Bristol-Myers Squibb
10:35 AM

What Constitutes Scientific Evidence - Controversies in Rare Disease Trial Designs and Personalized Medicine
Mark Chang, Veristat
10:35 AM

Estimating Probability of Simultaneous Success with Multiple Endpoints Using Truncated Multi-Variate Correlated Normal Distribution
Tianshuang Wu, AbbVie; Yihua Gu, AbbVie; Ziqian Geng, AbbVie; Saurabh Mukhopadhyay, AbbVie
10:50 AM

Towards Multiple-Imputation-Proper Predictive Mean Matching
Philipp Gaffert, GfK SE; Florian Meinfelder, Universität Bamberg; Volker Bosch, GfK SE
10:55 AM

A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:15 AM

Bootstrap Inference for Multiple Imputation Under Uncongeniality
Jonathan Bartlett, AstraZeneca
11:35 AM

Using Multiple Data Sources for Federal Statistics: Next Steps and Applications
Frauke Kreuter, Joint Program in Survey Methodology; Nancy Kirkendall, National Academies of Sciences, Engineering, and Medicine; Peter Miller, Northwestern University; Hubert Hamer, National Agricultural Statistics Service
2:05 PM

Inference on Multiple AUCs Based on the Combination of Multiple Biomarkers
Shu-Hui Lin, National Taichung University of Science and Technology
2:20 PM

Finite Sample Inference for Multiply Imputed Synthetic Data Under a Multiple Linear Regression Model
Martin Klein, U.S. Census Bureau
2:20 PM

Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:20 PM

Differentially Private Multiple Synthesis via an Adaptive Multiplicative Weighting Algorithm
Evercita Eugenio, University of Notre Dame; Fang Liu, University of Notre Dame
2:35 PM

Approaches to Tipping Point Analyzes for a Binary Endpoint in Longitudinal Clinical Trials
Joseph Wu, Pfizer; Huaming Tan, Pfizer, Inc.; Neal Thomas, Pfizer; Cunshan Wang, Pfizer, Inc.
2:50 PM

A Coskewness Shrinkage Approach for Estimating the Skewness of Linear Combinations of Random Variables
Dries Cornilly, KU Leuven and VUB; Kris Boudt, Vrije Universiteit Brussel; Tim Verdonck, KU Leuven
3:05 PM

Handling Missing Not at Random Data for Safety Endpoint in the Multiple Dose Titration Clinical Pharmacology Trial
Li Fan, Merck; Tian Zhao, Merck; Patrick Larson, Merck
3:20 PM

Thursday, 08/02/2018

Multi-Response Based Personalized Treatment Selection for Multiple Treatments
Chathura Siriwardhana, University of Hawaii; Karunarathna B Kulasekera, University of Louisville
9:05 AM

Bayesian Analysis of Multiple-Sample Data
Antonio Lijoi, Bocconi University
9:15 AM

Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:20 AM

A Unified Framework for Weighted Parametric Multiple Test Procedures
Dong Xi, Novartis Pharmaceuticals; Ekkehard Glimm, Novartis; Willi Maurer, Novartis; Frank Bretz, Novartis Pharma AG
9:35 AM

Dynamic Community Detection for Multiple Networks
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
9:35 AM

Predicting the Long-Term Exposure in Acute Treatment of Migraine Using a Nonhomogeneous Poisson Process with Random Effects
Kaifeng Lu
9:35 AM

Predictive Multiple Imputation Models to Facilitate Analyzes of Association Between Contemporaneous Medicaid Enrollment Status and Health Measures Among NHANES Participants
Jennifer Rammon, CDC; Jennifer Parker, CDC/NCHS; Yulei He, CDC/NCHS
9:50 AM

Optimal Treatment Recommendation via Subgroup Identification in Randomized Control Trials
Yang (Grace) Zhao, Gilead Sciences; Haoda Fu, Eli Lilly and Company
10:05 AM

Heritability Informed Power Optimization (HIPO) Leads to Enhanced Detection of Genetic Associations Across Multiple Traits
Guanghao Qi, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
10:35 AM

A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
Haitao Chu, University of Minnesota Twin Cities; Qinshu Lian, University of Minnesota; James S. Hodges, University of Minnesota
10:35 AM

Individualized Adaptive Dose-Response Modeling in Multiple Myeloma: Potential to Improve Patient Care
Dean Bottino, Takeda Pharmaceuticals U.S.A.
10:55 AM

Promises and Challenges of Data Integration
Mauricio Sadinle, University of Washington
10:55 AM

Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM

Multiple Imputation of Non-Ignorable and Hierarchical Missing Data
Angelina Hammon
11:05 AM

The pbdR Project: Distributed Computing with R
Wei-Chen Chen, FDA/CDRH; Drew Schmidt, ORNL; George Ostrouchov, Oak Ridge National Laboratory
11:15 AM

"Robust-Squared" Imputation Models Using BART
Yaoyuan Tan, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Michael Elliott, University of Michigan
11:20 AM

Marginal Meta-Analysis for Combining Multiple Randomized Clinical Trials with Rare Events
Yi Huang, University of Maryland, Baltimore County; Elande Baro, US FDA; Yun-Ju Cheng, University of Maryland, Baltimore County; Guoxing Song, US FDA
11:35 AM

Statistical Arguments for Regulatory Negotiation on Promising Subgroup Results
Ming-Xiu Hu, Nektar Therapeutics
11:35 AM

Statistical Monitoring of Semi-Competing Risk Outcomes in Clinical Trials
Toshi Hamasaki; Scott Evans, Harvard University; Tomoyuki Sugimoto, Kagoshima University; Koko Asakura, National Cerebral and Cardiovascular Center; Susan Halabi, Duke University
11:50 AM

SMUT: Multi-SNP Mediation Intersection-Union Test
Wujuan Zhong, University of North Carolina, Chapel Hill; Cassandra Spracklen, University of North Carolina, Chapel Hill; Karen Mohlke, University of North Carolina, Chapel Hill; Xiaojing Zheng, University of North Carolina, Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
11:50 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
11:55 AM

JSM 2018 Online Program

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