Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

219010	Sun, 7/28/2019, 7:30 AM - 3:30 PM	H-Capitol Ballroom 2
NISS Writing Workshop Day 1 — Other ICW
NISS/ASA Writing Workshop, ENAR, International Chinese Statistical Association, International Indian Statistical Association, IMS, Korean International Statistical Society
Organizer(s): Randy Freret, NISS

4 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-112
Recent Advance of Causal Inference in Failure Time Settings — Invited Papers
ENAR, Biometrics Section, IMS
Organizer(s): Shu Yang, North Carolina State University
Chair(s): Linbo Wang, University of Toronto
2:05 PM	Semiparametric Estimation of Continuous-Time Structural Failure Time Model Presentation Shu Yang, North Carolina State University
2:30 PM	The Choice to Define Competing Risk Events as Censoring Events and Implications for Causal Inference Presentation Jessica Gerald Young, Harvard Medical School; Mats Julius Stensrud, Harvard School of Public Health; Eric Tchetgen Tchetgen, University of Pennsylvania; Miguel Hernan, Harvard University
2:55 PM	Marginal Structural Models for a Continuous Outcome When the Risk of Death Depends on Treatment Presentation Judith Lok, Boston University, Dept of Mathematics and Statistics
3:20 PM	Discussant: Daniel Scharfstein, Johns Hopkins School of Hygiene & Public Health
3:40 PM	Floor Discussion

11 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-110
Recent Advances in Statistical Methods for Large-Scale Complex Biomedical Data — Invited Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Organizer(s): Kevin He, University of Michigan
Chair(s): Jian Kang, University of Michigan
2:05 PM	Uncertainty Quantification of Treatment Regime with High-Dimensional Covariates Sijian Wang, Rutgers University; Minge Xie, Rutgers University; Yilei Zhan, Rutgers University
2:30 PM	Testing Mediation Effect in Compositional Microbiome Data Presentation Lei Liu, Washington University in St Louis; Haixiang Zhang, Tianjin University; Jun Chen, Mayo Clinic; Zhigang Li, University of Florida
2:55 PM	Globally Adaptive Quantile Regression for Complex High-Dimensional Longitudinal Data Limin Peng, Emory University; Huijuan Ma, East China Normal University; Qi Zheng, University of Louisville; Zhumin Zhang, University of Wisconsin-Madison; HuiChuan Lai, University of Wisconsin-Madison
3:20 PM	Analysis of Multivariate Failure Time Data Ross L. Prentice, Fred Hutchinson Cancer Research Center; Shanshan Zhao, National Institute of Environmental Health Sciences
3:45 PM	Floor Discussion

12 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-201
Statistical Methods in Mobile Health: New Directions and Innovation — Invited Papers
Mental Health Statistics Section, ENAR, WNAR
Organizer(s): Jane Kim , Stanford University School of Medicine
Chair(s): Ying Kuen Ken Cheung, Columbia University
2:05 PM	Forecasting Mood Scores for Medical Interns Using Data from Mobile Phones and Wearables Presentation Ambuj Tewari, University of Michigan
2:30 PM	Robust Tests in Online Decision-Making: Testing the Utility of Data Collected by Wearables Jane Kim , Stanford University School of Medicine
2:55 PM	A New Contextual Multi-Armed Bandit Algorithm for Semiparametric Reward Model. Presentation Gi-Soo Kim, Seoul National University; Myunghee Cho Paik, Seoul National University
3:20 PM	Stochastic Dynamics in Behavioral Mobile Health: Joint Modeling of Dynamic Health and Engagement Outcomes Walter Dempsey, Harvard University
3:45 PM	Floor Discussion

14 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-705
Novel Statistical Methods for Network-Based Studies Among People Who Use Drugs — Invited Papers
National Institute on Drug Abuse-NIH, American Public Health Association, ENAR
Organizer(s): Ashley Buchanan, University of Rhode Island
Chair(s): M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center
2:05 PM	Inference from Multivariate Respondent-Driven Sampling Data Krista Gile, University of Massachusetts; Isabelle Beaudry, Pontificia Universidad Católica de Chile; Dongah Kim, University of Massachusetts; Shuaimin Kang, University of Massachusetts
2:25 PM	Regression Methods for Respondent-Driven Sampling Data Miles Ott, Smith College
2:45 PM	Toward Evaluation of Dissemination of HIV Prevention Interventions Among Networks of People Who Inject Drugs Presentation Ashley Buchanan, University of Rhode Island; Natallia Katenka, University of Rhode Island; Ayako Shimada, University of Rhode Island ; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center; Samuel Friedman, National Development and Research Institutes, Inc.
3:05 PM	Bayesian Auto-G-Computation of Network Causal Effects: Incarceration and Infection in a High Risk Network Isabel Fulcher, Harvard University; Eric Tchetgen Tchetgen, University of Pennsylvania; Ilya Shpitser, Johns Hopkins University; Caleb Lareau, Harvard Medical School
3:25 PM	Discussant: Natallia Katenka, University of Rhode Island
3:45 PM	Floor Discussion

21 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-109
Aligning Data Normalization with Analysis Goals for Reproducible Research — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistics in Genomics and Genetics
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Yize Zhao, Weill Cornell Medical College
2:05 PM	On the ‘Off-Label’ Use of Data Normalization for Sample Classification and Prognostication Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University; Mengling Liu, New York University
2:25 PM	Batch Effects Correction with Unknown Subtypes with Application to Paired MicroRNA Data Sets Yingying Wei, The Chinese University of Hong Kong; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:45 PM	Multiple Testing Under Dependence and Non-Sparsity with Applications in Genomics and Toxicology Hongyuan Cao, Florida State University; Shyamal Peddada, University of Pittsburgh; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
3:05 PM	Discussant: Lisa McShane, National Cancer Institute
3:25 PM	Discussant: George Tseng, University of Pittsburgh
3:45 PM	Floor Discussion

42 *	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-113
Novel Statistical Methods with a Biostatistics Leaning — Contributed Papers
ENAR
Chair(s): Appanna Kalyanee, Novartis Pharmaceutical Corporation
2:05 PM	Applying Markov Methodology to Investigate Disease Progression in Multiple Sclerosis Presentation Anastasia M. Hartzes, University of Alabama at Birmingham, Department of Biostatistics; Charity J. Morgan, University of Alabama at Birmingham, Department of Biostatistics; Stacey S. Cofield , University of Alabama at Birmingham, Department of Biostatistics
2:20 PM	Nonparametric Conditional Density Estimation for Pooled Biomarker Data Presentation Dewei Wang, University of South Carolina; Xichen Hou, University of South Carolina; Joshua Tebbs, University of South Carolina
2:35 PM	On Performing Generalized Inferences for the Burr XII Reliability Function Based on Progressively Censored Data Presentation Danush Wijekularathna, Troy University; Sumith Gunasekera, The University of Tennessee - Chattanooga
2:50 PM	Side Effect Reduction of Prior and Processed Information on Survey Design (Parts 1 and 2) Abdellatif Demnati, Independent Researcher
3:05 PM	Confronting Mental-Health-Mediated Harassment in a University Workplace: a Case Study Presentation Thomas Belin, UCLA
3:20 PM	Estimating Median Regression for Clustered Interval Censored Survival Data Piyali Basak, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital; Debajyoti Sinha, FLORIDA STATE UNIVERSITY
3:35 PM	Floor Discussion

46 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-103
Recent Developments in Novel Clinical Trial Design and Analysis for Precision Medicine — Invited Papers
ENAR, Biometrics Section, Biopharmaceutical Section
Organizer(s): Yingqi Zhao, Fred Hutchinson Cancer Research Center
Chair(s): Yingqi Zhao, Fred Hutchinson Cancer Research Center
4:05 PM	Bayesian Clinical Trial Designs to Evaluate Subgroup-Specific Treatment Effects Presentation Peter Thall, U.T. M.D. Anderson Cancer Center; Juhee Lee, University of California, Santa Cruz; Thomas Murray, University of Minnesota; Andrew Chapple, Louisiana State University
4:30 PM	Adaptive Contrast Weighted Learning and Tree-Based Reinforcement Learning for Multi-Stage Multi-Treatment Decision-Making Lu Wang, University of Michigan; Yebin Tao, Google; Daniel Almirall, University of Michigan
4:55 PM	Designing Precision Medicine Trials in Oncology to Yield Greater Population Impact Michael LeBlanc, Fred Hutchinson Cancer Research Center; Yingqi Zhao, Fred Hutchinson Cancer Research Center
5:20 PM	Online Experimentation and Learning Algorithms in a Clinical Trial Presentation Susan Murphy, Harvard University
5:45 PM	Floor Discussion

49 !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-207
Creating a Diverse and Inclusive Field One Student at a Time — Invited Papers
Section on Statistics and Data Science Education, ENAR, Section on Teaching of Statistics in the Health Sciences, Caucus for Women in Statistics
Organizer(s): Brianna Heggeseth, Macalester College
Chair(s): Brittney Bailey, Amherst College
4:05 PM	Cultivating an Equitable and Inclusive Classroom Dynamic Presentation Brianna Heggeseth, Macalester College
4:25 PM	Cultivating Diversity by Encouraging Deeper Learning of Fundamental Concepts Presentation Gretchen Falk Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
4:45 PM	Equity for Underprepared Intro Stat Students: Complex Instruction and Corequisite Design Alana Unfried, California State University, Monterey Bay
5:05 PM	Breaking Down Barriers: a Cohort Model for Broadening Participation in STEM Presentation Jessica Chapman, St. Lawrence University
5:25 PM	Bridging the Gap: Increasing Underrepresented Minority Representation in the Statistical Sciences Presentation Felicia R Simpson, Winston-Salem State University
5:45 PM	Floor Discussion

60 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-105
Statistical Analysis of Massive Neuronal Data Sets — Topic Contributed Papers
ENAR, Section on Statistics in Imaging, Biometrics Section
Organizer(s): Giuseppe Vinci, Rice University
Chair(s): Raquel Prado, UC Santa Cruz-Baskin School of Engineering
4:05 PM	Torus Graphs for Multivariate Phase Coupling Analysis Robert E. Kass, Carnegie Mellon University; Josue Orellana, Carnegie Mellon University; Natalie Klein, Carnegie Mellon University
4:25 PM	Hierarchical Recurrent Models of Neural Activity and Natural Behavior Presentation Scott W. Linderman, Stanford University
4:45 PM	Neuronal Functional Connectivity Graph Estimation from Nonsimultaneous Recordings Giuseppe Vinci, Rice University; Gautam Dasarathy, Arizona State University; Genevera Allen, Rice University
5:05 PM	Probabilistic Models of Neural Responses Measured in Calcium Imaging Presentation Ding Zhou, Columbia University
5:25 PM	Floor Discussion

85	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-101
Machine Learning in Biomedical Data — Contributed Papers
ENAR, WNAR
Chair(s): Yuchen Yang, Johns Hopkins University
4:05 PM	The Impact of Rater Characteristics on Agreement and Association Using Ordinal Scales Presentation Don Edwards, University of South Carolina; Kerrie Nelson, Boston University
4:20 PM	Missing Data Imputation for Classification Problems Presentation Arkopal Choudhury, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
4:35 PM	Title: Structure Penalized Trees for Ensemble Methods – Robust Prediction for Annual Outcome Data Presentation Grant D Brown, University of Iowa
4:50 PM	Classification with Imperfect Training Labels Timothy I. Cannings, University of Edinburgh; Yingying Fan, University of Southern California; Richard Samworth, University of Cambridge
5:05 PM	Confidence Intervals for the Performance of a Sequence of Diagnostic Tests Beau Nunnally, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology
5:20 PM	Assessment of Classifier Performance Using a Reference Classifier with Known Performance and an Unlabeled Dataset Presentation Alexej Gossmann, U.S. Food and Drug Administration, Center for Devices and Radiological Health; Weijie Chen, Food and Drug Administration; Berkman Sahiner, U.S. Food and Drug Administration, Center for Devices and Radiological Health
5:35 PM	Sensitivity Testing: Issues and Solutions Presentation David H. Collins, Los Alamos National Laboratory; Kimberly Kaufeld, Los Alamos National Laboratory; Michael S. Hamada, Los Alamos National Laboratory; Richard Warr, Brigham Young University

218809	Sun, 7/28/2019, 4:30 PM - 7:30 PM	H-Sandstone Boardroom
ENAR Executive Committee Meeting (Closed) — Other ICW
ENAR
Organizer(s): Sarah Ratcliffe, University of Virginia

102 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-110
Challenges and Developments in Microbiome Data Science — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, WNAR
Organizer(s): Zhengzheng Tang, University of Wisconsin-Madison
Chair(s): Long Wang, Johns Hopkins University
8:35 AM	It’s Just a Matter of Perspective - Robust Regression for Microbiome Data via Perspective M-Estimation Christian Lorenz Mueller, Flatiron Institute, Simons Foundation
9:00 AM	Modeling Evolutionary Dynamics of Bacteria in the Human Microbiome Katherine S. Pollard, ASA
9:25 AM	Beta-Diversity Discriminatory Power: Comparison of PERMANOVA, Mirkat, and Using Standard Microbiome Reference Groups Presentation Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics; Yunhu Wan, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:50 AM	Robust and Powerful Differential Composition Tests on Clustered Microbiome Data Zhengzheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
10:15 AM	Floor Discussion

113 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-702
New Developments on Data Integration and Data Fusion — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Gen Li, Columbia University
Chair(s): Gen Li, Columbia University
8:35 AM	Bayesian Nonparametric Clustering Analysis with an Incorporation of Biological Network for High-Dimensional Multi-Scale Molecular Data Yize Zhao, Yale University
8:55 AM	Integrative linear Discriminant Analysis with Guaranteed Error Rate Improvement Quefeng Li, University of North Carolina Chapel Hill; Lexin Li, University of California at Berkeley
9:15 AM	Insights into Impact of DNA Copy Number Alteration and Methylation on the Proteogenomic Landscape of Human Ovarian Cancer via a Multi-Omics Integrative Analysis Presentation Jiayi Ji; Xiaoyu Song, Icahn School of Medicine at Mount Sinai
9:35 AM	Sparse Semiparametric Canonical Correlation Analysis for Data of Mixed Types Irina Gaynanova, Texas A&M Univeristy; Grace Yoon, Texas A&M University; Raymond J. Carroll, Texas A & M University
9:55 AM	A Double Core Tensor Factorization and Its Applications to Heterogeneous Data George Michailidis, University of Florida
10:15 AM	Floor Discussion

114 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-108
Applying the ICH E9(R1) Addendum: Practical Considerations in Choosing Estimands, Estimators, and Sensitivity Analyzes — Topic Contributed Papers
Biopharmaceutical Section, ENAR, WNAR
Organizer(s): Pilar Lim, PhD, Janssen Research & Development, LLC
Chair(s): Pilar Lim, PhD, Janssen Research & Development, LLC
8:35 AM	Descending from the Theoretical to the Practical: Our Journey from Clear Definition to Messy Inference and Back Presentation Michael O'Kelly, IQVIA
8:55 AM	How Should We Select and Define Trial Estimands? – Examples Based on a Disease State Presentation Elena Polverejan, Johnson & Johnson-Janssen R&D
9:15 AM	Implementation of Estimand Framework in Oncology Clinical Trials Presentation Kalyanee Appanna, Novartis Pharmaceutical Corporation; Bharani Dharan, Novartis Pharmaceuticals; Yuanbo Song, Novartis Pharmaceutical Corporation; Ekkehard Glimm, Novartis Pharma AG
9:35 AM	Lessons Learned from Implementing ICH E9 in Phase 2 Trials Across Multiple Therapeutic Areas Presentation Jared Christensen, Pfizer Research
9:55 AM	Discussant: Craig Mallinckrodt, PhD, Biogen
10:15 AM	Floor Discussion

116 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-104
Recent Advances in Cure Rate Models for Long-Term Survivors — Topic Contributed Papers
Biometrics Section, ENAR, Lifetime Data Science Section
Organizer(s): Wei-Wen Hsu, Kansas State University
Chair(s): KyungMann Kim, University of Wisconsin-Madison
8:35 AM	Marginal Mean Hazard Rate Models for Long-Term Survivors with High-Dimensional Covariates Wei-Wen Hsu, Kansas State University; Jianfeng Chen, Kansas State University; David Todem, Michigan State University; KyungMann Kim, University of Wisconsin-Madison
8:55 AM	Nonparametric Scanning Tests for Homogeneity with Continuous Covariates in Cure Rate Models David Todem, Michigan State University
9:15 AM	Testing for Homogeneity in Two-Component Mixture Models: a Bayesian Model Comparison Approach Gyuhyeong Goh, Kansas State University; Wei-Wen Hsu, Kansas State University; David Todem, Michigan State University
9:35 AM	Applying Cure Models with Competing Risks and Complex Censoring Patterns Presentation Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan
9:55 AM	Floor Discussion

118 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-107
Emerging Challenges in Precision Medicine — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, ENAR
Organizer(s): Li Ma, Duke University
Chair(s): David Banks, SAMSI/Duke University
8:35 AM	Knockoff Assisted Outcome Adaptive Lasso for Doubly Robust Treatment Effect Estimation Guanhua Chen, University of Wisconsin-Madison
8:55 AM	Variable Selection and Estimation in Causal Inference Using Bayesian Spike and Slab Priors David Michael Vock, University of Minnesota; Brandon Koch, University of Nevada Reno; Julian Wolfson, University of Minnesota
9:15 AM	Sparse Learning and Structure Identification for Ultra-High-Dimensional Image-On-Scalar Regression Xinyi Li, SAMSI; Li Wang, Iowa State University; Huixia Judy Wang, The George Washington University
9:35 AM	Characterizing Outcome Distributions of Dynamic Treatment Regimes Presentation Daniel Lizotte, The University of Western Ontario
9:55 AM	Single-Cell Analyzes for Developing HIV Vaccine Lynn Lin, Penn State University
10:15 AM	Floor Discussion

148 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-201
Statistical Methods, Challenges and Impacts on Early Phase Trials — Invited Papers
ENAR, Biopharmaceutical Section, Statistics in Biopharmaceutical Research Journal
Organizer(s): Yu Du, Eli Lilly and Company
Chair(s): Pandurang Kulkarni, Eli Lilly & Company
10:35 AM	Model-Based Phase I Designs for Immuno-Oncology Jun Yin, Mayo Clinic; Yu Du, Eli Lilly and Company; Sumithra Mandrekar, Mayo Clinic
10:55 AM	The Use of Bayesian Basket Design in Early Phase Trials Presentation Shiling Ruan, Novartis; Matt Whiley, Novartis
11:15 AM	Advancing Pharmacogenomics Analysis of Drug Response in Early-Phase Clinical Trials Presentation Judong Shen, Merck & Co., Inc.; Hong Zhang, Merck & Co., Inc.; Devan Mehrotra, Merck & Co., Inc
11:35 AM	Revolutionizing the Early Drug Development Yongming Qu, Eli Lilly and Company
11:55 AM	Discussant: Ying Yuan, University of Texas M.D. Anderson Cancer Center
12:15 PM	Floor Discussion

173	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-113
Bayesian Methods Applied to Biometric Problems — Contributed Papers
ENAR
Chair(s): Guoqing Wang, Johns Hopkins Bloomberg School of Public Health
10:35 AM	High-Dimensional Association Detection in Large Scale Genomic Data Hillary Koch, Pennsylvania State University; Qunhua Li, Penn State University
10:50 AM	A Bayesian Semiparametric Approach to Wild-Type Distribution Estimation: Accounting for Contamination and Measurement Error (BayesACME) Will A. Eagan, Purdue University; Bruce A. Craig, Purdue University
11:05 AM	From Mutation Signatures to Patient Subgroups: An Application of Latent Dirichlet Allocation Relating Mutational Signatures to Patient Characteristics LiJin Joo, Yale University/Takeda Pharmaceutical; Seyoung Park, Sungkyunkwan University; Hongyu Zhao, Yale
11:20 AM	Bayesian Hierarchical Latent Variable Model for Time-Varying Connectivity Analysis of Local Field Potentials Presentation Dustin Pluta, University of California Irvine; Lingge Li, University of California, Irvine; Klaus Telkmann, University of California Irvine; Gabriel Elias, University of California, Irvine; Norbert Fortin, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Babak Shahbaba, University of California Irvine
11:35 AM	Time-to-Event Prediction Based on Longitudinal Biomarkers Using Bayesian Hierarchical Changepoint Mixture Models Lynette Smith, University of Nebraska Medical Center; Yeongjin Gwon, University of Nebraska Medical Center; Morshed Alam, University of Nebraska Medical Center; Sukhwinder Kaur, University of Nebraska Medical Center
11:50 AM	Statistical Consideration in Interim Analysis Timing Optimization for Sample Size Re-Estimation Yang Zhang, AtaraBio, Inc.
12:05 PM	Floor Discussion

213 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-104
Sequential Decision Making and Causal Inference — Invited Papers
IMS, ENAR, Institute for Operations Research and the Management Sciences
Organizer(s): Susan Murphy, Harvard University
Chair(s): Susan Murphy, Harvard University
2:05 PM	Mostly Exploration-Free Algorithms for Contextual Bandits Mohsen Bayati, Stanford University
2:30 PM	Truncated Thompson Sampling for Safe and Efficient Precision Public Health Presentation Eric B Laber, NC State University; Jesse Clifton, NC State University
2:55 PM	Learning to Personalize from Observational Data Under Unobserved Confounding Nathan Kallus, Cornell University and Cornell Tech
3:20 PM	Discussant: Elizabeth Ginexi, National Institutes of Health
3:40 PM	Floor Discussion

216 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-704
Promises and Pitfalls of Making Decisions with Real World Data — Invited Papers
Biometrics Section, ENAR, Health Policy Statistics Section
Organizer(s): Yuanjia Wang, Columbia University
Chair(s): Ying Liu, Medical College of Wisconsin
2:05 PM	A Decision Theoretic Approach to Pre-Emptive Genotyping Presentation Jonathan Schildcrout, Vanderbilt University Medical Center
2:30 PM	Data Enriched Regression via Generalized Linear Models Ying Qing Chen, Fred Hutchinson Cancer Research Center; Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwakee; Yuxiang Xie, University of Washington
2:55 PM	Integrative Analysis of Multivariate Temporal Biomarkers in Electronic Health Records Donglin Zeng, UNC Chapel Hill
3:20 PM	Learning Treatment Strategies from Randomized Trials Supplemented by Information in Electronic Health Records Yuanjia Wang, Columbia University
3:45 PM	Floor Discussion

219 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-702
Making an Impact in Statistics Education Through Innovation and Outreach — Invited Papers
ENAR, Section on Statistics and Data Science Education, International Association for Statistical Education
Organizer(s): Margaret Taub, Johns Hopkins Bloomberg School of Public Health
Chair(s): Leah Jager, Johns Hopkins Bloomberg School of Public Health
2:05 PM	Teaching Students to Talk About Data Science Alison Hill, RStudio
2:30 PM	Rmarkdown Workflows Make New Statistical Methods Accessible to Biomedical Researchers Michael Love, UNC-Chapel Hill
2:55 PM	Overcoming the Barriers of Entry into Data Science for Non-Traditional Learners with Cloud Computing Shannon E. Ellis, UCSD
3:20 PM	Teaching Data Science Through Case Studies in Public Health Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health
3:45 PM	Floor Discussion

223 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-703
The P-Value Controversy: Where Do We Go from Here? — Invited Panel
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Pranab K Mitra, Merck
Chair(s): Pranab K Mitra, Merck
2:05 PM	The P-Value Controversy: Where Do We Go from Here? Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	David Gal, University of Illinois at Chicago Jeffrey Blume, Vanderbilt University Lisa Strug Michael Lavine, University of Massachusetts, Amherst Philip B. Stark, UC Berkeley Xihong Lin, Harvard
3:40 PM	Floor Discussion

227 *	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-709
Recent Advances in the Design and Analysis of Multi-Reader Imaging Studies — Topic Contributed Papers
Section on Medical Devices and Diagnostics, Biometrics Section, ENAR
Organizer(s): Joanna H Shih, National Cancer Institute
Chair(s): Joanna H Shih, National Cancer Institute
2:05 PM	Relationship Between Obuchowski-Rockette and Gallas U-Statistic Methods for Analyzing Multi-Reader Diagnostic Imaging Data Stephen Hillis, University of Iowa
2:25 PM	Assigning Readers to Cases in Multi-Reader Multi-Case Imaging Studies Using Balanced Incomplete Block Designs Presentation Erich Huang, National Cancer Institute
2:45 PM	Analyzing Readers’ Performance in Detection-Localization Tasks Andriy Bandos, University of Pittsburgh
3:05 PM	Adaptive Design and Analysis of Multi-Reader Multi-Case Studies Weijie Chen, Food and Drug Administration; Zhipeng Huang, FDA/CDER; Frank Samuelson, FDA/CDRH; Lucas Tcheuko, FDA/CTP
3:25 PM	Discussant: Alicia Toledano, Biostatistics Consulting, LLC
3:45 PM	Floor Discussion

273 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-109
How Advanced Analytic Tools Deliver Insights for Clinical Investigations Through Real World Data — Invited Papers
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Junjing Lin, AbbVie
Chair(s): Margaret Gamalo-Siebers, Eli Lilly
8:35 AM	Incorporating Prior Knowledge on Phenotyping Accuracy for Association Studies Using Electronic Health Records Data Yong Chen, University of Pennsylvania; Jing Huang, University of Pennsylvania
8:55 AM	Challenges When Applying Advanced Analytics to Multiple Data Sources David Ohlssen, Novartis
9:15 AM	Predict Phase 3 Clinical Trial Results Using Phase 2 Data and Electronic Health Records Qi Tang, Sanofi; Youran Qi, University of Wisconsin
9:35 AM	Analytic Strategies of Using Propensity Scores in Clinical Data Augmentation Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly; Ram Tiwari, CDRH, FDA
9:55 AM	Discussant: Yunling Xu, FDA/CDRH
10:15 AM	Floor Discussion

276 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-108
Statistical Methods for Improving Inferences and Decision-Making in Population Health — Invited Papers
ENAR, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Zhenke Wu, University of Michigan
Chair(s): Jacob Fiksel, Johns Hopkins Bloomberg School of Public Health
8:35 AM	Bayesian Calibration of Verbal Autopsy Algorithms in Data-Scarce Settings Abhi Datta, Johns Hopkins Bloomberg School of Public Health
9:00 AM	Robust Decisions from Modeled Estimators Jishnu Das, The World Bank; Roy Van der Weide, The World Bank; Tyler McCormick, University of Washington
9:25 AM	Bayesian Restricted Latent Class Models for Estimating Disease Etiologies Presentation Zhenke Wu, University of Michigan; Scott L Zeger, Johns Hopkins Bloomberg School of Public Health
9:50 AM	Discussant: Amy H Herring, Duke University
10:15 AM	Floor Discussion

277 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-506
Statistical Methods for Composite Time-To-Event Endpoints — Invited Papers
Lifetime Data Science Section, ENAR, Biometrics Section
Organizer(s): Lu Mao, University of Wisconsin-Madison
Chair(s): Ting Ye, University of Wisconsin at Madison
8:35 AM	A Class of Proportional Win Fractions Regression Models for Composite Endpoints Lu Mao, University of Wisconsin-Madison
8:50 AM	Semiparametric Regression Analysis for Composite Endpoints Subject to Component-Wise Censoring Guoqing Diao, George Mason University; Donglin Zeng, UNC Chapel Hill; Chunlei Ke, Biogen; Haijun Ma, Amgen Inc.; Qi Jiang, Amgen; Joseph G Ibrahim, UNC
9:05 AM	Nonparametric Estimation of the Curtailed Win-Ratio David Oakes , University of Rochester
9:20 AM	Some Meaningful Weighted Win Loss Statistics Presentation Xiaodong Luo; Hui Quan, Sanofi US
9:35 AM	Stratified Win Ratio and Handling of Ties Presentation Gaohong Dong, iStats Inc.; Junshan Qiu, FDA/CDER; Roland A. Matsouaka, Duke University School of Medicine; Victoria Chang, Abbvie; Jiuzhou Wang, ImmunoGen Inc.; David C. Hoaglin, University of Massachusetts Medical School; Marc Vandemeulebroecke, Novartis Phama AG
9:50 AM	Discussant: KyungMann Kim, University of Wisconsin-Madison
10:05 AM	Floor Discussion

322 !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-106
Time-To-Event Models in Complex Observational Studies — Invited Papers
Biometrics Section, ENAR, Biopharmaceutical Section
Organizer(s): Soutrik Mandal, National Cancer Institute
Chair(s): Ana Maria Ortega-Villa, National Institutes of Health
10:35 AM	A Copula Model Approach for Regression Analysis of Informatively Interval-Censored Failure Time Data Presentation (Tony) Jianguo Sun, University of Missouri
11:00 AM	Validating Risk Prediction Models with Sub-Samples of Cohorts Ruth Pfeiffer, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics; Yei Eun Shin, National Cancer Institute
11:25 AM	Cure Rate Frailty Models for Clustered Current Status Data with Informative Cluster Size Kejun He, Renmin University; Wei Ma, Renmin University; Tong Wang, Texas A&M University; Dipankar Bandyopadhyay, Virginia Commonwealth University; Samiran Sinha, Texas A&M University
11:50 AM	Goodness-of-Fit Tests for the Linear Transformation Models with Interval-Censored Data Presentation Soutrik Mandal, National Cancer Institute; Suojin Wang, Texas A&M University; Samiran Sinha, Texas A&M University
12:15 PM	Floor Discussion

328 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-112
Integrative Approaches for Statistical Analysis of Data from Multiple Sources — Topic Contributed 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
10:35 AM	Dynamic Systems Approach to Deep Learning with Different Types of Data Sets and Its Application to Prediction of Alzheimer’s Disease Presentation Momiao Xiong, University of Texas School of Public Health; Helen Engle, University of Texas School of Public Health; Yuanyuan Liu, University of Texas School of Public Health; Zhouxuan Li, University of Texas School of Public Health; Qiyang Ge, University of Texas School of Public Health; Shudi Li, University of Texas School of Public Health; Shan Liu, University of Texas School of Public Health
10:55 AM	Data Integration Using Joint and Individual Non-Gaussian Component Analysis Presentation Benjamin Risk, Emory University; Irina Gaynanova, Texas A&M Univeristy
11:15 AM	Integrative Factorization of Bidimensionally Linked Matrices Presentation 1 Presentation 2 Eric Lock, University of Minnesota; Jun Young Park, University of Minnesota
11:35 AM	SIDA: a New Discriminant Analysis Method for Multi-Type, Multi-Class Data Sandra Safo, University of Minnesota; Eun Jeong Min, University of Pennsylvania
11:55 AM	Targeted Integrative Learning via a Distance Segmented Regression Kun Chen, University of Connecticut; Yang Song, Vertex Pharmaceuticals Inc.; Biju Wang, University of Connecticut
12:15 PM	Floor Discussion

338	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-103
SPEED: Biostatistical Methods, Application, and Education, Part 1 — Contributed Speed
ENAR, Section on Medical Devices and Diagnostics, Mental Health Statistics Section, Quality and Productivity Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Poster Presentations for this session.
10:35 AM	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Presentation Brian Healy, Biostatistics Center/Massachusetts General Hospital
10:40 AM	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
10:45 AM	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Presentation Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
10:50 AM	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Presentation Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
10:55 AM	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
11:00 AM	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
11:05 AM	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
11:10 AM	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Presentation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
11:15 AM	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
11:20 AM	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Presentation Kedai Cheng; Derek Young, University of Kentucky
11:30 AM	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Presentation Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
11:35 AM	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
11:40 AM	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
11:45 AM	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Presentation Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:50 AM	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
11:55 AM	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
12:00 PM	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Presentation Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
12:05 PM	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
12:10 PM	Pre-Conceptions of Statistical Inference in Biostatistics Presentation Aimee Schwab-McCoy, Creighton University

339	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-105
SPEED: Biopharmaceutical and General Health Studies: Statistical Methods and Applications, Part 1 — Contributed Speed
Biopharmaceutical Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Health Policy Statistics Section, ENAR
Chair(s): Sedigheh Mirzaei Salehabadi, St. Jude Children's Research Hospital
Poster Presentations for this session.
10:35 AM	Mediation Analysis for Longitudinal Data with Applications to Clinical Trial Data Yun Zhang
10:40 AM	Adjusting Response Adaptive Allocation for Subject Dropout Presentation Katharine Stromberg, Virginia Commonwealth University; Adam Sima, Virginia Commonwealth University
10:45 AM	The Use of a New Classifier to Maximize the Classification Performance Presentation Hua Ma, Merck; Joe Heyse, Merck
10:50 AM	Reproducibility of Living Data - Validation of Published Research Using the Parkinson’s Progression Marker Initiative Living Database Elliot Burghardt, University of Iowa; Christopher Coffey, University of Iowa; Chelsea Caspell-Garcia, University of Iowa; Eric Foster, Ferring Pharmaceuticals
10:55 AM	Blinding in Open Label Study with Adaptive Design Presentation Bo Xu, Boston Biomedical Inc; Bo Jin, Boston Biomedical Inc; Alex Dmitrienko, Mediana Inc
11:00 AM	Estimating the Relative Risk for Response-Biased Samples: Calibration and Conditional Likelihood Presentation 1 Presentation 2 Presentation 3 Presentation 4 Claudia Rivera-Rodriguez, University of Auckland
11:05 AM	Another Estimation Method Besides MMRM for Treatment Effects in Diabetes Clinical Trials Presentation Yu Du, Eli Lilly and Company
11:10 AM	Criteria for Choosing a Futility Method for Clinical Studies Presentation Richard McNally, Covance-Chiltern
11:15 AM	Random Forests for Exploring Factors Driving Opioid Prescribing in National Outpatient Health Care Data Using Complex Survey Design Presentation Yong Ma, FDA; JaeJoon Song, FDA
11:20 AM	An Adaptive Phase II Dose Finding Study Using Sample Size Re-Estimation Design Qingyang Liu, University of Connecticut; Guanyu Hu, University of Connecticut; Yaoshi Wu, Boehringer-Ingelheim ; Binqi Ye, Boehringer-Ingelheim; Susan Wang, Boehringer-Ingelheim
11:30 AM	Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
11:35 AM	Quantifying the Number of Events Borrowed from External Data in Hybrid Control Arms Presentation Brian Segal, Flatiron Health; Carrie Bennette, Flatiron Health; Somnath Sarkar, Flatiron Health
11:40 AM	Characterizing Irreproducibility in Drug Sensitivity Data from a Large Pharmacogenomic Study Zoe Rehnberg, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
11:45 AM	Closest Similar Subset Imputation Macaulay Okwuokenye, Brio Dexteri Pharmaceutical Consultant & UNE; Karl E Peace, Georgia Southern University
11:50 AM	Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology Presentation Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
11:55 AM	Estimating and Using the Attained Power Distribution to Ensure We Get the Trial Power We Expect Yongdong Ouyang, University of British Columbia; Hubert Wong, University of British Columbia; Ehsan Karim, University of British Columbia; Paul Gustafson, University of British Columbia
12:00 PM	Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome Presentation 1 Presentation 2 Presentation 3 Presentation 4 Presentation 5 Presentation 6 Woobeen Lim, The Ohio State University; Michael Pennell, Ohio State University
12:05 PM	Clustering of Multivariate Data with Varying Dimensions Presentation Xiaoqi Lu, Columbia University; Bin Cheng, Columbia University; Ying Kuen Ken Cheung, Columbia University
12:10 PM	Floor Discussion

218810	Tue, 7/30/2019, 12:30 PM - 3:30 PM	H-Capitol Ballroom 5
ENAR RAB and RECOM Lunch Meeting — Other ICW
ENAR
Organizer(s): Sarah Ratcliffe, University of Virginia

375 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-107
Modern Statistical Methods for Comparative Effectiveness Research — Invited Papers
Section on Statistics in Epidemiology, Health Policy Statistics Section, ENAR
Organizer(s): Liangyuan Hu, Icahn School of Medicine at Mount Sinai
Chair(s): Liangyuan Hu, Icahn School of Medicine at Mount Sinai
2:05 PM	Balancing Weights for Causal Inference: Theory and Practice Presentation Fan Li, Duke University
2:30 PM	Model-Assisted Sensitivity Analysis for Hidden Bias in CER Bo Lu, The Ohio State University; Giovanni Nattino, The Ohio State University
2:55 PM	Errors in Electronic Health Records: What Two Phase Sampling Teaches Us About Data Validation Bryan E Shepherd, Vanderbilt University School of Medicine; Gustavo Amorim, Vanderbilt University; Ran Tao, Vanderbilt University Medical Center; Sarah Lotspeich, Vanderbilt University; Pamela Shaw, University of Pennsylvania
3:20 PM	Incorporating Information from a Network of Personalized Trials to Facilitate Individualized Treatment Choice Presentation Christopher Schmid, Brown University
3:45 PM	Floor Discussion

391 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-106
Leveraging Disparate Sources of Data and Machine Learning to Improve Causal Inference — Topic Contributed Papers
ENAR, Section on Statistical Learning and Data Science, Social Statistics Section
Organizer(s): Johann A Gagnon-Bartsch, University of Michigan; Jann Spiess, Postdoctoral Research, Microsoft Research
Chair(s): Johann A Gagnon-Bartsch, University of Michigan
2:05 PM	Transfer Learning for Estimating Causal Effects Using Neural Networks Soeren Kuenzel; Jasjeet Sekhon, UC Berkeley; Bradly Reinhold Stadie, UC Berkeley; Nikita Vemuri, UC Berkeley
2:25 PM	ReLOOP: Precise Unbiased Estimation in Randomized Experiments Using Observational Auxilliary Data Presentation Adam Sales, University of Texas At Austin; Johann A Gagnon-Bartsch, University of Michigan; Anthony Botelho, Worcester Polytechnic Institute; Neil T Heffernan, Worcester Polytechnic Institute; Edward Wu, University of Michigan; Luke Miratrix, Harvard University
2:45 PM	Machine Learning for Estimating Causal Effects from High-Dimensional Observational Data Presentation Fredrik Johansson, MIT
3:05 PM	Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information Presentation Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
3:25 PM	Manipulation Proof Machine Learning Daniel Bjorkegren, Brown University; Joshua Blumenstock, University of California Berkeley
3:45 PM	Floor Discussion

400 !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-205
Changing the Statistics Community: Effective Strategies for Promoting an Inclusive and Equitable Culture for Women — Topic Contributed Panel
Committee on Women in Statistics, Committee on Professional Ethics, ENAR
Organizer(s): Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health
Chair(s): Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health
2:05 PM	Changing the Statistics Community: Effective Strategies for Promoting an Inclusive and Equitable Culture for Women
Panelists:	Debashis Ghosh, University of Colorado Anschutz Medical Campus Gabriela de Queiroz, IBM Jen Hecht, R Studio Karthik Ram, Berkeley Institute for Data Science at UC Berkeley Suzanne Thornton, Rutgers University Wendy L Martinez, Bureau of Labor Statistics
3:40 PM	Floor Discussion

418	Tue, 7/30/2019, 2:00 PM - 2:45 PM	CC-Hall C
SPEED: Biostatistical Methods, Application, and Education, Part 2 — Contributed Poster Presentations
Section on Medical Devices and Diagnostics, ENAR, Mental Health Statistics Section, Quality and Productivity Section, General Methodology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Oral Presentations for this session.
20:	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
21:	Pre-Conceptions of Statistical Inference in Biostatistics Aimee Schwab-McCoy, Creighton University
22:	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Brian Healy, Biostatistics Center/Massachusetts General Hospital
23:	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
24:	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Kedai Cheng; Derek Young, University of Kentucky
25:	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
26:	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
27:	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
28:	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
29:	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
30:	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
31:	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
32:	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
33:	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
34:	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
35:	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
36:	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
37:	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
38:	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
Oral Presentations for this session.

426	Tue, 7/30/2019, 3:05 PM - 3:50 PM	CC-Hall C
SPEED: Biopharmaceutical and General Health Studies: Statistical Methods and Applications, Part 2 — Contributed Poster Presentations
Biopharmaceutical Section, Health Policy Statistics Section, ENAR
Chair(s): Sedigheh Mirzaei Salehabadi, St. Jude Children's Research Hospital
Oral Presentations for this session.
1:	Mediation Analysis for Longitudinal Data with Applications to Clinical Trial Data Yun Zhang
2:	An Adaptive Phase II Dose Finding Study Using Sample Size Re-Estimation Design Qingyang Liu, University of Connecticut; Guanyu Hu, University of Connecticut; Yaoshi Wu, Boehringer-Ingelheim ; Binqi Ye, Boehringer-Ingelheim; Susan Wang, Boehringer-Ingelheim
4:	Quantifying the Number of Events Borrowed from External Data in Hybrid Control Arms Brian Segal, Flatiron Health; Carrie Bennette, Flatiron Health; Somnath Sarkar, Flatiron Health
5:	Characterizing Irreproducibility in Drug Sensitivity Data from a Large Pharmacogenomic Study Zoe Rehnberg, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
6:	Closest Similar Subset Imputation Macaulay Okwuokenye, Brio Dexteri Pharmaceutical Consultant & UNE; Karl E Peace, Georgia Southern University
7:	Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
8:	Estimating and Using the Attained Power Distribution to Ensure We Get the Trial Power We Expect Yongdong Ouyang, University of British Columbia; Hubert Wong, University of British Columbia; Ehsan Karim, University of British Columbia; Paul Gustafson, University of British Columbia
9:	Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome Woobeen Lim, The Ohio State University; Michael Pennell, Ohio State University
10:	Clustering of Multivariate Data with Varying Dimensions Xiaoqi Lu, Columbia University; Bin Cheng, Columbia University; Ying Kuen Ken Cheung, Columbia University
11:	Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
12:	Adjusting Response Adaptive Allocation for Subject Dropout Katharine Stromberg, Virginia Commonwealth University; Adam Sima, Virginia Commonwealth University
13:	Estimating the Relative Risk for Response-Biased Samples: Calibration and Conditional Likelihood Claudia Rivera-Rodriguez, University of Auckland
14:	The Use of a New Classifier to Maximize the Classification Performance Hua Ma, Merck; Joe Heyse, Merck
15:	Reproducibility of Living Data - Validation of Published Research Using the Parkinson’s Progression Marker Initiative Living Database Elliot Burghardt, University of Iowa; Christopher Coffey, University of Iowa; Chelsea Caspell-Garcia, University of Iowa; Eric Foster, Ferring Pharmaceuticals
16:	Blinding in Open Label Study with Adaptive Design Bo Xu, Boston Biomedical Inc; Bo Jin, Boston Biomedical Inc; Alex Dmitrienko, Mediana Inc
17:	Another Estimation Method Besides MMRM for Treatment Effects in Diabetes Clinical Trials Yu Du, Eli Lilly and Company
18:	Criteria for Choosing a Futility Method for Clinical Studies Richard McNally, Covance-Chiltern
19:	Random Forests for Exploring Factors Driving Opioid Prescribing in National Outpatient Health Care Data Using Complex Survey Design Yong Ma, FDA; JaeJoon Song, FDA
Oral Presentations for this session.

436 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-110
Deep Learning for Data Science — Invited Papers
WNAR, ENAR, International Chinese Statistical Association
Organizer(s): Yingying Fan, University of Southern California
Chair(s): Jinchi Lv, University of Southern California
8:35 AM	Dynamic Demand-Supply Network Data Analysis for Ride Sharing Business Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill
9:00 AM	DeepPINK: Reproducible Feature Selection in Deep Neural Networks Presentation Yingying Fan, University of Southern California
9:25 AM	Learning Grid Cells with Vector Representation of Self-Position and Matrix Representation of Self-Motion Presentation Ying Nian Wu, UCLA
9:50 AM	Discussant: Jun S. Liu, Harvard University
10:10 AM	Floor Discussion

438 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-106
Missing Data Issues in Public Health Studies and Survey Sampling in the Era of Data Science — Invited Papers
Section on Statistics in Epidemiology, ENAR, Survey Research Methods Section
Organizer(s): Peisong Han, University of Michigan
Chair(s): Peisong Han, University of Michigan
8:35 AM	Multilevel Multiple Imputation for Electronic Health Record and Survey Data: Your Flexible Friend Presentation James Robert Carpenter, London School of Hygiene & Tropcial Medicine; Matteo Quartagno, London School of Hygiene & Tropcial Medicine
9:00 AM	New Predictive Mean Matching Imputation Methods for Cluster Randomized Trials Presentation Brittney Bailey, Amherst College; Rebecca Andridge, The Ohio State University College of Public Health
9:25 AM	IT's NOT ALL ABOUT BIG DATA, but SOME of it IS Presentation Thomas Louis, Johns Hopkins Bloomberg SPH
9:50 AM	Robust 'Squared' Estimators to Account for Selection Bias Due to Death in Estimating the Effect of Wealth Shock on Cognition for the Health Retirement Study Presentation Yaoyuan Vincent Tan, Rutgers University; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Lindsay Pool, Northwestern University
10:15 AM	Floor Discussion

449 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-205
Evaluating Risk Predictions for Use in Decision-Making — Invited Papers
ENAR, Biometrics Section, Section on Risk Analysis
Organizer(s): Hormuzd Katki, US National Cancer Institute
Chair(s): Qing Pan, George Washington University
8:35 AM	Monitoring with Repeatedly Measured Marker: Assessing Incremental Value of Additional Measurements Paramita Saha Chaudhuri, McGill University; James Hanley, McGill University; Hormuzd Katki, US National Cancer Institute
9:00 AM	A General Framework for Using the Overall Concordance Statistic to Assess the Discriminatory Ability of Risk Predictions Presentation Li Cheung, National Cancer Institute; Qing Pan, George Washington University; Barry Graubard, National Cancer Institute
9:25 AM	Quantifying Risk Stratification Provided by Diagnostic Tests and Risk Predictions Presentation Hormuzd Katki, US National Cancer Institute
9:50 AM	On Optimal Screening Schedules for Chronic Diseases Ionut Bebu, The George Washington University; John Lachin, The George Washington University
10:15 AM	Floor Discussion

453 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-102
Advances on the Analysis of Single-Cell Sequencing Data — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Lingling An, University of Arizona
Chair(s): Xiaoxiao Sun, University of Arizona
8:35 AM	Accurate Correction on Dropout Events in Single-Cell RNAseq Data Presentation Lingling An, University of Arizona; Di Ran, University of Arizona; Shanshan Zhang, University of Arizona; Nick Lytal, University of Arizona
8:55 AM	Advantages of Modeling Zero-Inflation in ScRNA-Seq Data Presentation Davide Risso, University of Padova
9:15 AM	From Bulk to Single-Cell RNA-Seq Data: Differential Gene Expression Analysis Jingyi Jessica Li, University of California, Los Angeles; Yiling Chen, University of California, Los Angeles
9:35 AM	Exploring Topologically Associating Domains (TADs) for Single-Cell Hi-C Data Qunhua Li, Penn State University; Di Wu, University of North Carolina at Chapel Hill
9:55 AM	Novel Methods for Analyzing Population-Based Single Cell Transcriptomic Data Presentation Wei Chen, University of Pittsburgh
10:15 AM	Floor Discussion

459 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-111
Rethinking Intercurrent Events and Estimators Within the ICH E9(R1) Estimand Framework — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Dong Xi, Novartis
Chair(s): Forrest Williamson, Eli Lilly
8:35 AM	A Constructive Critique of the Draft ICH E9 Addendum Presentation Daniel Scharfstein, Johns Hopkins School of Hygiene & Public Health
8:55 AM	Estimands in Clinical Trials with Intercurrent Events Shanthi Sethuraman, Eli Lilly and Company; Yongming Qu, Eli Lilly and Company; Linda Shurzinske, Eli Lilly and Company
9:15 AM	Comparison of Assumptions Required for Estimating Different Parameters in the Presence of Intercurrent Events Presentation Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
9:35 AM	Some Thoughts on Recurrent Event Estimands and Estimators Dong Xi, Novartis; Jiawei Wei, Novartis; Tobias Muetze, Novartis
9:55 AM	Discussant: Thomas Permutt, U.S. Food and Drug Administration
10:15 AM	Floor Discussion

479 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-207
Complex Innovative Designs in Practice of Early Phase Drug Development — Invited Papers
Biopharmaceutical Section, ENAR, Society for Clinical Trials
Organizer(s): Vladimir Dragalin, Janssen R&D
Chair(s): Sue-Jane Wang, Center for Drug Evaluation and Research U.S. Food and Drug Administration
10:35 AM	Incorporating Time-To-Event Total Toxicity Burden into Dose-Finding Trials Ji Lin, Sanofi US; Yuan Ji, The University of Chicago; Meizi Liu, University of Chicago
10:50 AM	Novel Designs to Accelerate Phase I Oncology Trials Daniel Li, Juno Therapeutics, A Celgene Company
11:05 AM	Adaptive Designs for Drug Combination Informed by Longitudinal Model for the Response Presentation Tobias Mielke, Janssen
11:20 AM	Bayesian Optimal Interval (BOIN) Design in Phase 1 Oncology Dose-Finding Trials: An Industry Experience Presentation Wijith Prasantha Munasinghe, AbbVie Inc
11:35 AM	Phase 1/2 Seamless Design Inna Perevozskaya, GSK; Rosemary Schroyer, GSK; Helen Chen, GSK
11:50 AM	Discussant: Yuan Ji, The University of Chicago
12:05 PM	Floor Discussion

482 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-702
Statistical Methods in the Analysis of High-Order Structural Data with Possible Structural Changes — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, ENAR
Organizer(s): Peter X.K. Song , School of Public Health, University of Michigan
Chair(s): Peter X.K. Song , School of Public Health, University of Michigan
10:35 AM	Tensor Regression and Imaging-Based Inference Presentation Heping Zhang, Yale University; Long Feng, Yale University; Xuan Bi, University of Minnesota
11:00 AM	Individualized Multilayer Tensor Learning with An Application in Imaging Analysis Xiwei Tang, University of Virginia; Xuan Bi, University of Minnesota; Annie Qu, University of Illinois at Urbana-Champaign
11:25 AM	Simultaneous Change Point Detection and Structure Recovery for High-Dimensional Gaussian Graphical Models Yufeng Liu, University of North Carolina at Chapel Hill
11:50 AM	Generative Link Prediction for Incomplete Networks with Node Features Ji Zhu, University of Michigan
12:15 PM	Floor Discussion

487 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-111
Spatio-Temporal Statistics in Health Applications — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
Chair(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
10:35 AM	Using Air Quality Data Fusion Products for Epidemiological Research Presentation Howard Chang, Emory
11:00 AM	A Multivariate Spatio-Temporal Model for Dengue, Zika, and Chikungunya Outbreaks in Rio De Janeiro, Brazil Alexandra Schmidt, McGill University
11:25 AM	A Unified Exposure Prediction Approach for Multivariate Spatial Data Roman Jandarov, University of Cincinnati College of Medicine; Zheng Zhu, University of Cincinnati College of Medicine
11:50 AM	Estimating and Explaining Spatially Varying Seasonal Cycles of RSV Matthew Heaton, Brigham Young University; Celeste Ingersoll, Brigham Young University; Brian Hartman, Brigham Young University; Candace J. Berrett, Brigham Young University; Chantel Sloan, Brigham Young University
12:15 PM	Floor Discussion

492 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-205
Data Fabrication and Falsification: Protecting the Credibility and Impacts of Surveys — Invited Panel
Government Statistics Section, Survey Research Methods Section, ENAR
Organizer(s): Linda J Young, USDA National Agricultural Statistics Service
Chair(s): Kerrie Leslie
8:35 AM	Data Fabrication and Falsification: Protecting the Credibility and Impacts of Surveys Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	James Dahlhamer, US Centers for Disease Control and Prevention Jill DeMatteis , Westat Linda J Young, USDA National Agricultural Statistics Service
12:15 PM	Floor Discussion

501 *	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-109
Innovative Methods for Measurement Error Correction — Topic Contributed Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Organizer(s): Caroline P Groth, Feinberg School of Medicine, Northwestern University
Chair(s): Harrison Quick, Drexel University
10:35 AM	Calibrating Validation Samples When Correcting for Measurement Error in Intervention Study Outcomes Presentation Benjamin Ackerman, Johns Hopkins Bloomberg School of Public Health; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health; Juned Siddique, Feinberg School of Medicine, Northwestern University
10:55 AM	A Bayesian Approach for Handling Covariate Measurement Error When Estimating Population Treatment Effect Hwanhee Hong; Juned Siddique, Feinberg School of Medicine, Northwestern University; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health
11:15 AM	Flexibly Accounting for Exposure Measurement Error in Counterfactual Risk Functions Presentation Jessie Edwards, Univeristy of North Carolina at Chapel Hill
11:35 AM	Longitudinal Latent Class Modeling for Measurement Error Correction Presentation Caroline P Groth, Feinberg School of Medicine, Northwestern University; David Aaby, Northwestern University Feinberg School of Medicine; Linda Van Horn, Northwestern University Feinberg School of Medicine; Michael Daniels, University of Florida; Juned Siddique, Feinberg School of Medicine, Northwestern University
11:55 AM	Covariate Measurement Error in Propensity Score Analysis: Leveraging the Covariate’s Posterior Mean Presentation Trang Q Nguyen, Johns Hopkins Bloomberg School of Public Health
12:15 PM	Floor Discussion

523	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
Chair(s): Wendy Meiring, University of California At Santa Barbara
43:	A Nonnegative Matrix Factorization Method for Rank Normalized Data Danielle Demateis, The College of New Jersey
45:	A Statistical Method for Comparing Co-Abundance Networks in Microbiome Data Youngchul Kim, Moffitt Cancer Center; Syeda Mahrukh Hussnain Naqvi, Moffitt Cancer Center
46:	Average Relative Effect Tests for Composite Outcomes: In Rescue of the Less Frequent Components Edward Mascha, Cleveland Clinic
47:	Simultaneous Estimations for Contrasts of Quantiles Gemechis Djira, South Dakota State University; Lawrence Segbehoe, South Dakota State University; Frank Schaarschmidt, Leibniz Universität Hannover
48:	Causal Relationship Between ENDS Use and Subsequent Cigarette Initiation Among Adolescents: a Propensity Score Analysis Using Data of the PATH Study Shu Xu, New York University; Bin Liu, New York University; Yifan Xu, New York University; jiarui he, new york university; Raymond Niaura, New York University; Donna L. Coffman, Temple University

218811	Wed, 7/31/2019, 12:00 PM - 2:00 PM	H-Granite B
ENAR 2020 Spring Meeting Planning Lunch — Other ICW
ENAR
Organizer(s): Michael Daniels, University of Florida

551 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-109
Risk Prediction Methods and Applications in Risk Stratified Prevention — Invited Papers
ENAR, Lifetime Data Science Section, Section on Statistics in Epidemiology
Organizer(s): Parichoy Pal Choudhury, National Cancer Institute
Chair(s): Yei Eun Shin, National Cancer Institute
2:05 PM	Using Deep Learning to Build Risk Prediction Models for Time-to-Event Outcomes Jon Steingrimsson, Brown University; Samantha Morrison, Brown University; Constantine Gatsonis, Brown University
2:25 PM	Case-Only Analysis of Gene-Environment Interactions Using Polygenic Risk Scores Presentation Allison Meisner, Johns Hopkins Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
2:45 PM	Generalized Meta-Analysis for Combining Disparate Risk Factor Information Across Studies: Inference on Multiple Regression Based Risk Prediction Models Presentation Prosenjit Kundu, The Johns Hopkins University Bloomberg School of Public Health; Runlong Tang, The Johns Hopkins University Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
3:05 PM	Development and Validation of Breast Cancer Risk Prediction Models Using ICARE and Projections for Future Risk Stratification Amber Wilcox, National Cancer Institute; Parichoy Pal Choudhury, National Cancer Institute; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:25 PM	Racial and Ethnic Fairness in Clinical Risk Prediction with an Application to Suicide Risk Prediction Presentation Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:45 PM	Floor Discussion

560 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-111
Using Large Healthcare Databases and Modern Statistical Methods to Impact Health Policy — Topic Contributed Papers
ENAR, Health Policy Statistics Section, International Indian Statistical Association
Organizer(s): Nandita Mitra, University of Pennsylvania
Chair(s): Nandita Mitra, University of Pennsylvania
2:05 PM	Innovations to Assess Program Attribution and Calculate Return on Investment in Large-Scale Health Programs Jiaqi Li, Booz Allen Hamilton; Ping Yu, Booz Allen Hamilton
2:25 PM	A Fresh Look at Models, Assumptions, and Confounders in Diff-In-Diff Presentation Bret Zeldow, Harvard Medical School; Laura A Hatfield, Harvard Medical School
2:45 PM	Hierarchical Bayesian Estimation of Subgroup Effects in Large Healthcare Policy Evaluations Presentation Jonathan Gellar, Mathematica Policy Research; Mariel Finucane, Mathematica Policy Research; Ignacio Martinez, Mathematica Policy Research
3:05 PM	Bayesian Nonparametric Model for Zero-Inflated Outcomes: Clustering, Prediction, and Causal Inference Arman Oganisian, Univ of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, Rutgers University
3:25 PM	Discussant: Jason Roy, Rutgers University
3:45 PM	Floor Discussion

588 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-203
Statistical Analysis of Tensor Data — Invited Papers
Section on Nonparametric Statistics, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Xin Zhang, Florida State University
Chair(s): Bing Li, The Pennsylvania State University
8:35 AM	Tensor Clustering for Dynamic Functional Connectivity Analysis Presentation Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
8:55 AM	ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching Anru Zhang, University of Wisconsin-Madison; Yuetian Luo, University of Wisconsin-Madison; Garvesh Raskutti, University of Wisconsin-Madison; Ming Yuan, Columbia University
9:15 AM	Getting Multiway Arrays in Order with Co-Manifold Learning Eric Chi, North Carolina State University; Gal Mishne, Yale University; Ronald Coifman, Yale University
9:35 AM	Covariate-Adjusted Tensor Classification in High Dimensions Qing Mai, Florida State University
9:55 AM	Model-Based Clustering of Tensor Data Xin Zhang, Florida State University
10:15 AM	Floor Discussion

592 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-702
Evaluating Impact in Networks: Causal Inference with Interference — Invited Papers
Biometrics Section, Section on Statistics in Epidemiology, ENAR
Organizer(s): Michael Hudgens, University of North Carolina at Chapel Hill
Chair(s): Michael Hudgens, University of North Carolina at Chapel Hill
8:35 AM	Individualistic Effects in Randomized Trials Under Contagion Presentation Olga Morozova, Yale School of Public Health; Daniel Eck, Yale School of Public Health; Forrest W Crawford, Yale School of Public Health
8:55 AM	Matching Methods for Networked Causal Inference Alexander Volfovsky, Duke University
9:15 AM	Causal Inference with Misspecified Exposure Mappings Fredrik Sävje, Yale University
9:35 AM	Auto-G-Computation of Causal Effects on a Network Presentation Eric Tchetgen Tchetgen, University of Pennsylvania
9:55 AM	Discussant: Dean Eckles, MIT
10:15 AM	Floor Discussion

593 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-712
Statistical Challenges and New Developments in Genomics — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Nancy Zhang, University of Pennsylvania
Chair(s): Nancy Zhang, University of Pennsylvania
8:35 AM	Evaluation of Cell Clustering in Single Cell Data Zhijin Wu, Brown University
9:00 AM	Removing Unwanted Variation Reveals the Impact of Genetic Variation on 3D Genome Structure Presentation Kasper Daniel Hansen, Johns Hopkins University
9:25 AM	Transfer Learning in Single Cell Transcriptomics Presentation Nancy Zhang, University of Pennsylvania; Divyansh Agarwal, University of Pennsylvania; Zilu Zhou, University of Pennsylvania; Mo Huang, University of Pennsylvania; Gang Hu, Nankai University; Chengzhong Ye, Tsinghua University; Jingshu Wang, The University of Chicago
9:50 AM	GeneFishing: a Computational Method to Reconstruct Comprehensive Context-Specific Portraits of Biological Processes and Its Application to Cholesterol Metabolism Presentation Haiyan Huang, University of California, Berkeley
10:15 AM	Floor Discussion

596 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-605
Statistical and Mathematical Methods in Cancer Etiology and Cancer Early Detection — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Section on Medical Devices and Diagnostics
Organizer(s): Cristian Tomasetti, Johsn Hopkins University
Chair(s): Cristian Tomasetti, Johsn Hopkins University
8:35 AM	Statistical Methods Behind the CancerSEEK Blood Test and the DYNAMICS Study Kamel Lahouel, Johns Hopkins University
9:05 AM	Statistical and Mathematical Approaches to Cancer Etiology Cristian Tomasetti, Johsn Hopkins University; Lu Li, Johns Hopkins University
9:35 AM	Mutational Signatures and Cancer Etiology Presentation Bahman Afsari, Johns Hopkins University
10:05 AM	Floor Discussion

597 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-503
Vision 2020: Making Impact with Statistics in the Era of Data Science — Invited Panel
Committee of Presidents of Statistical Societies, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Huixia Judy Wang, The George Washington University
Chair(s): Bhramar Mukherjee, University of Michigan
8:35 AM	Vision 2020: Making Impact with Statistics in the Era of Data Science Presentation
Panelists:	Hadley Wickham, RStudio Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health John Quackenbush, Harvard University Rachel Schutt, BlackRock Tian Zheng, Columbia University Xiao-Li Meng, Harvard University
10:15 AM	Floor Discussion

612	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-710
Statistics for Clinical Trials and Medical Research — Contributed Papers
ENAR
Chair(s): Jesus Arroyo, Johns Hopkins University
8:35 AM	A Joint Model for Binary Longitudinal and Right-Censored Survival Data in the Context of Antibody Mediated Rejection After Kidney Transplantation Presentation Maarten Coemans, KU Leuven; Aleksandar Senev, KU Leuven; Marie-Paule Emonds, KU Leuven; Maarten Naesens, KU Leuven; Geert Verbeke, Catholic University of Leuven
8:50 AM	The Impact of Design Variability on Power of Wald-Type Tests for Treatment Comparisons Under Adaptive Designs Presentation 1 Presentation 2 Selvakkadunko Selvaratnam, University of Alberta; Alwell Oyet, Memorial University of Newfoundland; Yanqing Yi, Memorial University of Newfoundland
9:05 AM	A Comparative Analysis of Optimal Cut-Off Selection Methods for Multiple Continuous Biomarkers in Immuno-Oncology Research Hong Wang; Sameera Wijayawardana; Hillary T Graham, Eli Lilly and Company
9:20 AM	Statistical Methods for Clinical Study Site Selection Presentation 1 Presentation 2 Jianjin Xu, FDA/CDRH; Lan Huang, FDA/CDRH; Zhihao Yao, FDA/CDRH; Zhiheng Xu, FDA/CDRH; Jyoti Zalkikar, FDA/CDRH; Ram Tiwari, CDRH, FDA
9:35 AM	Strategy for Similarity Margin Selection in Comparative Clinical Biosimilar Studies Mengdie Yuan, Food and Drug Administration; Yabo Niu, Texas A&M University; Lei Nie, FDA; Thomas Gwise, FDA; Gregory Levin, FDA; Shein-Chung Chow, FDA
9:50 AM	Floor Discussion

635 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-707
Monitoring Health Behaviors with Multi-Sensor Mobile Technology — Invited Papers
ENAR, Biometrics Section, International Chinese Statistical Association
Organizer(s): Vadim Zipunnikov, Johns Hopkins University
Chair(s): Jiawei Bai, Johns Hopkins University
10:35 AM	Translational Biomarkers for Quality of Sleep Dmitri Volfson, Takeda; Brian Tracey, Tufts; Derek Buhl, Takeda; Tamas Kiss, Hungarian Academy of Sciences
11:00 AM	Statistical Modeling of Cross-Systems Biomarkers Presentation Vadim Zipunnikov, Johns Hopkins University; Mike Xiao, National Institute of Mental Health; Kathleen Merikangas, National Institute of Mental Health
11:25 AM	Registration for Exponential Family Functional Data Presentation Julia Wrobel, Columbia University; Vadim Zipunnikov, Johns Hopkins University; Jennifer Schrack, Johns Hopkins University; Jeff Goldsmith, Columbia University
11:50 AM	Wearable Sensor Data Fusion for Affect Lability Detection Fengqing Zhang, Drexel University; Tinashe Tapera, Drexel University; Adrienne Juarascio, Drexel University
12:15 PM	Floor Discussion

648 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-702
Are Statistical Methods Developed for Bulk RNAseq Data Appropriate for Single Cell Data Sets? — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Roula Tsonaka, Leiden University MC
Chair(s): Roula Tsonaka, Leiden University MC
10:35 AM	Assumptions and Methods for Normalizing Single-Cell RNA-Seq Data Rhonda Bacher, University of Florida
10:55 AM	Robust Normalisation and Differential Variability Testing for Noisy ScRNAseq Data Presentation Catalina Vallejos, MRC Human Genetics Unit, University of Edinburgh
11:15 AM	Statistical Methods for Flexible Differential Analysis of Cross-Sample Single-Cell RNA-Seq Data Sets Presentation Mark Robinson, University of Zurich
11:35 AM	Unlocking Bulk RNA-Seq Tools for Single Cell Applications Presentation Lieven Clement, Ghent University
11:55 AM	Characterization of Differential Correlation Across Single Cell Differentiation Trajectories with ScDCARS Presentation Shila Ghazanfar, Cancer Research UK Cambridge Institute
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association