Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

Online Program Home
My Program

All Times EDT

Legend:
* = applied session ! = JSM meeting theme

Activity Details

3 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Individualized Treatment Rules — Invited Papers
Biometrics Section, Social Statistics Section, Health Policy Statistics Section
Organizer(s): Michael Lingzhi Li, Massachusetts Institute of Technology
Chair(s): Kosuke Imai, Harvard University
10:05 AM	Synthetic Difference in Differences David Abraham Hirshberg, Stanford GSB; Dmitry Arkhangelsky, CEMFI Madrid; Susan Athey, Stanford University; Guido Imbens, Stanford GSB; Stefan Wager, Stanford University
10:30 AM	Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules Yinghao Pan, University of North Carolina at Charlotte ; Yingqi Zhao, Fred Hutchinson Cancer Research Center
10:55 AM	Experimental Evaluation of Individualized Treatment Rules Michael Lingzhi Li, Massachusetts Institute of Technology; Kosuke Imai, Harvard University
11:20 AM	Online Reinforcement Learning with Applications to Mobile Health Susan Murphy, Harvard University; Peng Liao, Harvard University; Sabina Tomkins, Stanford University; Predrag Klasnja, University of Michigan
11:45 AM	Floor Discussion

5	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Recent Development on Statistical Methods for Precision Medicine — Invited Papers
ENAR, Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): Guanhua Chen, University of Wisconsin-Madison
Chair(s): Yanyao Yi, Eli Lilly and Company
10:05 AM	A Two-Part Model for Individualized Treatment Rule Estimation with Semi-Continuous Outcomes Guanhua Chen, University of Wisconsin-Madison; Maureen Smith, University of Wisconsin-Madison; Jared Huling, The Ohio State University
10:30 AM	Bayesian Nonparametric Survival Regression for Optimizing Precision Dosing of Intravenous Busulfan in Allogeneic Stem Cell Transplantation Presentation Peter F. Thall, M.D. Anderson Cancer Center; Yanxun Xu, Johns Hopkins University; William Hua, Johns Hopkins University; Borje Andersson, M.D. Anderson Cancer Center
10:55 AM	Targeted Learning of Causal Impact of Optimal Individualized Treatment Rules Based on Novel Sequentially Adaptive Designs Mark Van der Laan, University of California, Berkeley; Ivana Malenica, University of California, Berkeley
11:20 AM	Stochastic Tree Search for Estimating Personalized Treatment Decision Rules Lu Wang, University of Michigan; Yilun Sun, University of Michigan Medical School
11:45 AM	Floor Discussion

18 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Emerging Issues in EHR: Methods to Enhance Knowledge Discovery and Real World Implementation — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Yong Chen, University of Pennsylvania
Chair(s): Rui Duan, University of Pennsylvania
10:05 AM	Modeling Heterogeneity and Missing Data in Electronic Health Records Ying Wei, Columbia University
10:35 AM	Statistical Challenges of Implementing Real-Time EHR-Based Risk Prediction Tools in Emergency Department Dandan Liu, Vanderbilt University
11:05 AM	Distributed Learning for Electronic Health Records Data Yong Chen, University of Pennsylvania
11:35 AM	Floor Discussion

24 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Causal Inference When the Outcome Is Truncated by Death — Topic Contributed Papers
Section on Statistics in Marketing, Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jessica Gerald Young, Harvard Medical School
Chair(s): Jessica Gerald Young, Harvard Medical School
10:05 AM	New Estimands for Causal Inference Conditional on Post-Treatment Variables Mats Stensrud, Harvard T. H. Chan School of Public Health
10:25 AM	Principal Surrogate Evaluation Using Multiple Trials Zhichao Jiang, University of Massachusetts, Amherst; Peng Ding, University of California, Berkeley; Zhi Geng, Peking University
10:45 AM	Flexible Estimation of Time-Varying Survivor Average Causal Estimands Using Bayesian Additive Regression Trees Leah Comment, Foundation Medicine, Inc
11:05 AM	Bayesian Mediation Analysis for Cluster Randomized Trials Joseph Hogan, Brown University; Michael Daniels, University of Florida
11:25 AM	Floor Discussion

27 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Innovative Methods for Missing Data and Measurement Error in Health Research — Topic Contributed Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania; Michelle Shardell, University of Maryland School of Medicine
Chair(s): Roee Gutman, Brown University
10:05 AM	Examination of Missingness, Differential Reporting and Dropout When Patients Know Their Treatment Assignment in RCTs Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
10:25 AM	Addressing Non-Ignorably Missing Proxy-Reported Exposure Data Michelle Shardell, Institute for Genome Sciences University of Maryland School of Medicine
10:45 AM	Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margins Presentation Olanrewaju Akande, Duke University; Jerry Reiter, Duke University
11:05 AM	Gamma Models for Estimating the Odds Ratio for a Skewed Biomarker Measured in Pools and Subject to Errors Dane Van Domelen, Emory University; Emily Mitchell, Agency for Healthcare Research and Quality (AHRQ); Neil Perkins, NICHD; Enrique Schisterman, NICHD; Amita Manatunga, Emory University; Eugene Huang, Emory University; Robert H. Lyles, Emory University
11:25 AM	Statistical Methods to Estimate Change in Incomplete Multivariate Ordinal Responses from Patient Reported Outcome Measures Olawale Fatai Ayilara, University of Manitoba; Tolulope T Sajobi, University of Calgary; Ruth Barclay, University of Manitoba; Mohammad Jafari Jozani, University of Manitoba; Lisa M Lix, University of Manitoba
11:45 AM	Floor Discussion

29 !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Biometrics Section Byar Award Student Paper Session I — Topic Contributed Papers
Biometrics Section
Organizer(s): Samrachana Adhikari, NYU School of Medicine
Chair(s): Samrachana Adhikari, NYU School of Medicine
10:05 AM	Randomization-Based Confidence Intervals for Cluster Randomized Trials Dustin Rabideau, Harvard University; Rui Wang, Harvard University
10:25 AM	Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization Ting Ye, University of Pennsylvania ; Jun Shao, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
10:45 AM	Multimodal Neuroimaging Data Integration and Pathway Analysis Yi Zhao, Indiana University; Lexin Li, University of California, Berkeley; Brian Caffo, Johns Hopkins University
11:05 AM	Generalized Case-Control Sampling Under Generalized Linear Models Jacob M Maronge, University of Wisconsin, Madison; Ran Tao, Vanderbilt University; Jonathan Schildcrout, Vanderbilt University; Paul J. Rathouz, Dell Medical School at the University of Texas at Austin
11:25 AM	Discussant: Dipankar Bandyopadhyay, Virginia Commonwealth University
11:45 AM	Floor Discussion

32 *	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Computational and Statistical Methods for Single-Cell Transcriptomics and Epigenomics Analyses — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Qunhua Li, Penn State University
Chair(s): Claire Jin, State College Area High School
10:05 AM	Gene Set Testing Methods for Single Cell RNAseq (ScRNAseq) Data Di Wu, University of North Carolina at Chapel Hill; Hunyong Cho; Eric Van Buren; Chuwen Liu, University of North Carolina, Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
10:25 AM	Identifying Topologically Associating Domain Structures from Single-Cell Hi-C Data Qunhua Li, Penn State University; Qiuhai Zeng, Wuhan University; Xi He, Pennsylvania State University; Yu Zhang, Two sigmas; Tracey Zheng, Pennsylvania State University
10:45 AM	Cumulus: A Cloud-Based Data Analysis Framework for Large-Scale Single-Cell and Single-Nucleus RNA-Seq Bo Li, Massachusetts General Hospital
11:05 AM	Computational Methods for Single Cell Chromatin Organization Analysis Presentation Jie Liu
11:25 AM	Floor Discussion

58	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
New Topics in Survival Analysis — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Yan Gao, University of Illinois at Chicago
	Selection of Weight in the Weighted Logrank Test Zhiguo Li, Duke University; Xiaofei Wang, Duke University
	An Estimation Method for the Semiparametric Accelerated Mixture Cure Model with Informative Cluster Size Jonathan Yu, Virginia Commonwealth University; Dipankar Bandyopadhyay, Virginia Commonwealth University
	Interval Censored Recursive Forests Hunyong Cho; Nicholas P Jewell, London School of Hygiene &Tropical Medicine; Michael R. Kosorok, University of North Carolina at Chapel Hill
	Survival and Mediation Analysis with Correlated Frailty Usha Govindarajulu, Icahn School of Medicine
	Incorporating Survival Data to Case-Control Studies with Incident and Prevalent Cases Soutrik Mandal, National Cancer Institute; Jing Qin, National Institute of Allergy and Infectious Diseases; Ruth Pfeiffer, National Cancer Institute

61	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Approaches for Modeling Clustered and Longitudinal Data — Contributed Papers
Biometrics Section
Chair(s): Hayley Belli, New York University School of Medicine
	Semiparametric Quasi-Bayesian Bootstrap Procedure for Dichotomous Outcome Yiying Liu, Case Western Reserve University; Jeffery M Albert, Case Western Reserve University
	Association of Mitochondrial Haplogroups with the Risk of Alzheimer Disease Presentation Palash Sharma, University of Kansas Medical Center; Dongwei Hui, Higuchi Biosciences Center, University of Kansas; Jonathan Mahnken, Department of Biostatistics and Data Science, The University of Kansas Medical Center; Mary Michaelis, Higuchi Biosciences Center, University of Kansas; Elias Michaelis, Higuchi Biosciences Center, University of Kansas; Russell Swerdlow, Department of Neurology, University of Kansas-Medical Center; Prabhakar Chalise, Department of Biostatistics and Data Science, University of Kansas Medical Center
	Conway-Maxwell-Multinomial Regression for Categorical Data with Associated Trials Darcy Morris; Andrew M. Raim, U.S. Census Bureau; Kimberly Sellers, Georgetown University
	Ordinal Outcomes: Considerations for a Log Cumulative Probability Model Without a Proportionality Assumption Gurbakhshash Singh, Central Connecticut State University; Gordon Hilton Fick, University of Calgary
	Comparison of Tests for Association of 2 by 2 Tables Under the Multiple Testing Setting Presentation Huan Cheng, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center
	Robust and Scalable Modeling of Intra-Individual Variability in Longitudinal Big Data Presentation Christopher German; Janet Sinsheimer, UCLA; Hua Zhou, University of California, Los Angeles; Jin Zhou, University of Arizona

75	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Biometrics Section — Contributed Poster Presentations
Biometrics Section, Text Analysis Interest Group
1:	Comparing Samples of Partially Paired Categorical Data PHILIP DIXON, Iowa State University
2:	A State-Space Approach for Analyzing Longitudinal Outcomes Alicia Chua, Boston University School of Public Health; Yorghos Tripodis, Boston University School of Public Health
3:	Drug Safety Evaluation Using Panel Count Model Yizhao Zhou, Georgetown University; Ao Yuan, Georgetown University Medical Center; Ming Tan, Georgetown University
4:	Arctangent Augmented Square Root Transformation Mitchell J Rosen, Covance, Inc.
5:	A Comparison of Ordinary Least Squares and Reduced Major Axis Regression Krista Watts, United States Military Academy; Nicholas Clark, United States Military Academy; Diana Thomas, United States Military Academy
6:	Designing an Intra-Subject Dose Escalation Clinical Trial for Evaluation of Acute Intermittent Hypoxia in Stroke Survivors Elizabeth Gray, Northwestern University, FSM; Masha Kocherginsky, Northwestern University, FSM; Milap Sandhu, Northwestern University, AbilityLab; William Rymer, Northwestern University, AbilityLab
7:	Predicting ordinal outcomes incorporating nonparametric interactions Yuting Lu, New York University, Department of Environmental Medicine; Yongzhao Shao, New York University School of Medicine
8:	Reactogenicity Adverse Events; Collection, Analysis and Reporting Process in Vaccine Clinical Trials Tulin Shekar, Merck
9:	Detection Limits by Semiparametric Cumulative Probability Models Yuqi Tian, Vanderbilt University; Bryan E Shepherd, Vanderbilt University; Chun Li, University of Southern California, Department of Preventive Medicine; Nathan James, Vanderbilt University
10:	Modeling Simultaneous Responses with Nested Working Correlation and Bayesian Estimates for Longitudinal Data with Time-Dependent Covariates Elsa Aimara Vazquez Arreola, Arizona State University; Jeffrey R Wilson, Arizona State University
11:	Mining for Health: A Comparison of Word Embedding Methods for Electronic Health Records Emily Getzen, University of Pennsylvania; Qi Long, University of Pennsylvania
12:	Comparing Association of Preoperative Transrectal Ultrasound Prostate Weight with Prostate Weight Obtained After Radical Prostatectomy Irene Helenowski, Northwestern University; Sean Sachdev, Northwestern University; Borko D Jovanovic, Northwestern University; Michael J Gurley, Northwestern University; Robin G Leikin, Northwestern University; William J Catalona, Northwestern University; Timothy M Kuzel, Rush University
13:	PARAMETER ESTIMATION for STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN by WIENER and POISSON NOISE Charles Eugene Smith, North Carolina State University; Loren Cobb, Univ. of Colorado Denver
14:	Copula Directional Dependence for Analyzing Metabolic Responses in Obese Rodents to Nutritional Strategies Yoonsung Jung, Prairie View A&M University; Javad Barouei, Prairie View A&M University
15:	Classification of Adverse Events from the Apple Heart Study Using Natural Language Processing Rebecca Gardner, Stanford University, Quantitative Sciences Unit; Santosh Gummidipundi, Stanford University, Quantitative Sciences Unit; Mai Nguyen, Stanford Center for Clinical Research; Sushmitha Tallapalli, Stanford Center for Clinical Research; Vidhya Balasubramanian, Stanford University, Quantitative Sciences Unit; Justin Lee, Stanford University, Quantitative Sciences Unit; Ariadna Garcia, Stanford University, Quantitative Sciences Unit; Haley Hedlin, Stanford University, Quantitative Sciences Unit; Christoph Olivier, Stanford Center for Clinical Research; Justin Parizo, Stanford Center for Clinical Research; Kenneth Mahaffey, Stanford Center for Clinical Research; Marco Perez, Stanford Division of Cardiovascular Medicine; Mintu Turakhia, Stanford Division of Cardiovascular Medicine; Manisha Desai, Stanford University
16:	An R Shiny Web Application Useful for Aiding Researchers in the Analysis of Eye Tracking Data Nathan Varberg; Nathaniel Thom, Wheaton College
17:	Effect of Different Error Rate Adjustments on Reproducibility Scott Richter, UNC Greensboro; Melinda McCann, Oklahoma State University
18:	Stochastic Curtailment Methods for Futility Testing in Single-Arm Clinical Trials with Time-to-Event Endpoint Using Weibull Distribution Muhammad Waleed, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center; Milind A Phadnis, University of Kansas Medical Center
19:	Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models Francesca Mandel, University of Pennsylvania; Ian Barnett, University of Pennsylvania
20:	A SAS Macro for Implementing a Group Sequential Design with Time-to-Event Endpoint Using the Generalized Gamma Distribution Nadeesha Thewarapperuma, University of Kansas Medical Center ASA Student Chapter; Milind A Phadnis, University of Kansas Medical Center
22:	Relaxing the Independence Assumption in Relative Survival Analysis: A Parametric Approach Reuben Adatorwovor, University of North Carolina at Chapel Hill; Aurelien Latouche, Conservatoire National des Arts et Métiers; Jason Fine, University of North Carolina Chapel Hill
23:	Survival Outcome Related High-Throughput Gene Expression Analysis Under Case-Cohort Design Huining Kang, University of New Mexico; Lidong Wang, University of New Mexico

98 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Special Invited Session in the Honor of Professor C.R. Rao's Birth Centenary — Invited Papers
General Methodology, IMS, Biometrics Section, International Statistical Institute
Organizer(s): Arni S.R. Srinivasa Rao, Augusta University, Georgia, USA
Chair(s): Arni S.R. Srinivasa Rao, Augusta University, Georgia, USA
1:05 PM	In Honor of a Great Statistical Scientist David Cox, University of Oxford
1:35 PM	To Celebrate the Centennial of a Remarkable Contributor to the Use of Statistics to Advance Science Donald Rubin, Harvard University
2:05 PM	One Hundred Years of Geometry Bradley Efron, Stanford University
2:35 PM	Floor Discussion

101 *	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Statistical Modeling of Infectious Diseases — Invited Papers
SSC (Statistical Society of Canada), Canadian Statistical Sciences Institute, Biometrics Section
Organizer(s): Mahmoud Torabi, University of Manitoba
Chair(s): Rhonda J. Rosychuk, University of Alberta
1:05 PM	Geographically-Dependent Individual-Level Models for Infectious Disease Transmission Rob Deardon, University of Calgary
1:30 PM	Inference for Individual-Level Models of Infectious Diseases with Covariates Measurement Error Leila Amiri, University of Manitoba; Mahmoud Torabi, University of Manitoba; Rob Deardon, University of Calgary
1:55 PM	A logistic growth model with logistically varying carrying capacity for Covid-19 deaths using data from Ontario, Canada. Charmaine Dean, University of Waterloo; Georges Bucyibaruta, University of Waterloo; Elizabeth Renouf, University of Waterloo
2:20 PM	Zero-Inflated Models for Adjusting Varying Exposures: A Cautionary Note on the Pitfalls of Using Offset Cindy Feng, University of Ottawa
2:45 PM	Floor Discussion

104 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Survival Analysis in Causal Inference Studies — Invited Papers
Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jialiang Li, National University of Singapore
Chair(s): Mei-Ling Ting Lee, University of Maryland
1:05 PM	Targeted Learning and Survival Analysis Presentation Mark Van der Laan, University of California, Berkeley
1:25 PM	Honest Inference for Conditional Causal Hazard Ratios After Selection of High-Dimensional Confounders Kelly Van Lancker, Ghent University; Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University and LSHTM
1:45 PM	Causal Inference and Competing Risk Data Torben Martinussen, University of Copenhagen
2:05 PM	Detecting Individual-Level 'Always Survivor' Causal Effects Under 'Truncation by Death' and Censoring Through Time Presentation Jaffer Zaidi, University of North Carolina, Chapel Hill; Eric Tchetgen Tchetgen, University of Pennsylvania; Tyler VanderWeele, Harvard T.H. Chan School of Public Health
2:25 PM	A General Approach of Assessing the Bias of 2 Stage IV Models for Survival Outcomes Fei Wan, Washington University in St. Louis
2:45 PM	Floor Discussion

120 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Vaccine Dose and Regimen Finding — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section
Organizer(s): Robert D Small, Dr.
Chair(s): Ayca Ozol-Godfrey, Sunovion Pharmaceuticals
1:05 PM	SOME ADAPTIVE METHODS for VACCINE DOSE-FINDING Presentation James Bolognese, Cytel Inc.
1:25 PM	Considerations in Vaccine Dose-Finding Studies Aiying Chen, sanofi Pasteur; Scott Patterson, Sanofi Pasteur ; Fabrice Bailleux, Sanofi Pasteur; Tifany Machabert, Sanofi Pasteur
1:45 PM	Model Informed Development in Vaccines Immunizes Against Choosing Poor Vaccine Candidates and/or Non-Informative Dose-Levels Presentation Radha Railkar, Merck & Co., Inc.; Jeff Sachs, Merck; Jos Lommerse, Certara; Nele Mueller-Plock, Certara; S.Y. Amy Cheung, Certara; Brian Maas, Merck; Luzelena Caro, Merck; Antonios Aliprantis, Merck; Kalpit Vora, Merck; Amy Espeseth, Merck; Andrew Lee, Merck
2:05 PM	Discussant: Lihan Yan, Vaccine Evaluation Branch-CBER-FDA
2:25 PM	Discussant: Debra Yeskey, CEPI
2:45 PM	Floor Discussion

123 !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Unraveling Tissue Heterogeneity for Analyzing Omics Data in Cancer Research — Topic Contributed Papers
WNAR, ENAR, Biometrics Section
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Yuqing Zhang, Gilead Sciences Inc.
1:05 PM	Outcome-Guided Molecular Disease Subtyping for Precision Medicine in Omics Data George Tseng, University of Pittsburgh
1:25 PM	Co-Expression Analysis of Complex Tissues Matthew Nicholson McCall, University of Rochester Medical Center; Yun Zhang, J. Craig Venter Institute (JCVI)
1:45 PM	Clustering of Single Cells Based on Expressions of Subsets of Genes Sha Cao, Indiana University School of Medicine; Changlin Wan, Purdue University; Chi Zhang, Indiana University School of Medicine; Anru Zhang, University of Wisconsin-Madison
2:05 PM	Adjusting for Handling Effects in Transcriptomics Data for Tumor Subtyping Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:25 PM	Multi-Omic Integration to Reveal Functional Consequences of DNA Alterations Xiaoyu Song, Icahn School of Medicine at Mount Sinai; Jiayi Ji, Ichan School of Medicine at Mount Sinai; Lin Chen, University of Chicago; Pei Wang, Icahn Medical School at Mount Sinai
2:45 PM	Floor Discussion

125 *	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Novel Approaches for Estimating and Evaluating Treatment Rules with Applications in Mental Health Research — Topic Contributed Papers
Mental Health Statistics Section, Biometrics Section, ENAR
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Todd Ogden, Columbia University
1:05 PM	A Tree-Based Method for Discovering Response Trajectory Subgroups Based on Scalar and Functional Variables Adam Ciarleglio, George Washington University
1:25 PM	A single index model for longitudinal outcomes to optimize individual treatment decision rules Presentation Lanqiu Yao, New York University School of Medicine; Thaddeus Tarpey, NYU School of Medicine
1:45 PM	Sufficient Dimension Reduction for Interactions and Its Application to Optimizing Individualized Dose Rules Presentation Hyung Park, New York University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, NYU School of Medicine; R. Todd Ogden, Columbia University
2:05 PM	Confidence in Optimal Personalized Treatment Decisions: A Strategy for Sequential Patient Assessment Presentation Nina Orwitz, NYU School of Medicine; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, NYU School of Medicine
2:25 PM	Conditional Gaussian Graphical Model for Estimating Personalized Disease Symptom Networks Shanghong Xie, Columbia University; Erin Mcdonnell, Columbia University; Yuanjia Wang, Columbia University
2:45 PM	Floor Discussion

128 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Modeling for the Masses: Tackling Infectious Disease for the Public Good — Topic Contributed Papers
Biometrics Section, Health Policy Statistics Section, Statistics Without Borders
Organizer(s): Marie V Ozanne, Mount Holyoke College
Chair(s): Jacob J Oleson, University of Iowa, Department of Biostatistics
1:05 PM	Strategies for Modeling Dynamics of Emerging Epidemics Ali Arab, Georgetown University
1:25 PM	A Bayesian Latent Class Model for Identifying Canine Visceral Leishmaniasis in the Absence of a Gold Standard Marie V Ozanne, Mount Holyoke College
2:05 PM	Adaptively Stacked Ensembles for Influenza Forecasting with Incomplete Data Thomas McAndrew, University of Massachusetts; Nicholas G Reich, University of Massachusetts at Amherst
2:25 PM	Type-Specific Forecasts of Influenza-Like Illness Using Hierarchical Splines Evan Ray, Mount Holyoke College; Isabelle Beaudry, Pontificia Universidad Católica de Chile; Graham C Gibson, University of Massachusetts, Amherst; Nicholas G Reich, University of Massachusetts at Amherst
2:45 PM	Floor Discussion

142 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Fairness and Equity in Clinical Risk Prediction: Healthcare Data for the Public Good — Invited Papers
Biometrics Section, Health Policy Statistics Section, Section on Statistical Learning and Data Science, Lifetime Data Science Section
Organizer(s): Yates Coley, Kaiser Permanente Washington Health Research Institute
Chair(s): Maricela Cruz, Kaiser Permanente Washington Health Research Institute
10:05 AM	Assessing Racial and Ethnic Fairness of a Suicide Risk Prediction Model Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
10:25 AM	Can Individualized Risk Calculators Reduce Racial/Ethnic Disparities in Cancer Screening Guidelines? Hormuzd Katki, US National Cancer Institute; Corey Young, Morehouse School of Medicine; Li Cheung, US National Cancer Institute; Rebecca Landy, US National Cancer Institute
10:45 AM	Detecting Undercompensated Groups in Plan Payment Risk Adjustment Presentation Anna Zink, Harvard University; Sherri Rose, Harvard Medical School
11:05 AM	Discussant: Kristian Lum, HRDAG
11:25 AM	Discussant: Ruth Pfeiffer, National Cancer Institute
11:45 AM	Floor Discussion

146 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Methods to Evaluate and Correct for Bias in Patient-Reported Outcomes in Clinical Trials: Advancing the Validity of Patient-Centric Drug Development — Invited Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Joseph C. Cappelleri, Pfizer Inc.; Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
Chair(s): Demissie Alemayehu, Pfizer Inc.
10:05 AM	Addressing Bias in Responder Analyses of Patient-Reported Outcomes Presentation Joseph C. Cappelleri, Pfizer Inc.
10:30 AM	Evaluating the Effect of Interventions on Patient Function in Trials of Severely Ill Patients Presentation Elizabeth Colantuoni, Johns Hopkins Bloomberg School of Public Health; Daniel O Scharfstein, Johns Hopkins University; Ximin Li, Johns Hopkins University
10:55 AM	Assessing Open-Label Bias in Patient-Reported Outcomes in Cancer Trials Jonathon Vallejo, FDA
11:20 AM	Discussant: Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
11:45 AM	Floor Discussion

148 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Master Protocols in Oncology Drug Development — Invited Papers
ENAR, Biometrics Section, Biopharmaceutical Section
Organizer(s): Xiaoyun (Nicole) Li, Merck
Chair(s): Xiaoyun (Nicole) Li, Merck
10:05 AM	Master Protocols in Oncology: A Regulatory Perspective Min (Annie) Lin, FDA
10:30 AM	ASA Oncology Working Group Sub-Team Report on Oncology Master Protocols Chengxing (Cindy) Lu, Biogen Inc.; Xiaoyun (Nicole) Li, Merck
10:55 AM	Bayesian Platform Trials for Drug Registration Don Berry, Berry Consultants
11:20 AM	Discussant: Erik Bloomquist, FDA
11:45 AM	Floor Discussion

155 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Recent Developments in Statistical Methods for Data with Informative Cluster Size — Topic Contributed Papers
ENAR, Biometrics Section, Mu Sigma Rho, Lifetime Data Science Section
Organizer(s): Aya Mitani, Harvard T. H. Chan School of Public Health
Chair(s): Kristin Baltrusaitis, Harvard T. H. Chan School of Public Health
10:05 AM	Marginal Analysis of Multiple Outcomes with Informative Cluster Size Aya Mitani, Harvard T. H. Chan School of Public Health; Elizabeth Kaye, Boston University Henry M. Goldman School of Dental Medicine; Kerrie P Nelson, Boston University
10:25 AM	Marginal Inference Under Informative Subgroup Size Induced by a Subject Level Covariate Somnath Datta, University of Florida
10:45 AM	On the Interplay Between Exposure Misclassification and Informative Cluster Size Glen McGee, Harvard University; Marianthi-Anna A Kioumourtzoglou, Columbia University, Dept of Environmental Health Sciences; Marc Weisskopf, Harvard University; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health; Brent Coull, Harvard University
11:05 AM	A Joint Modeling of Longitudinal Data with Informative Cluster Size Adjusted for Zero-Inflation and Terminal Event Ming Wang; Biyi Shen, Pennsylvania State University; Chixiang Chen, Pennsylvania State University; Vern M. Chinchilli, Pennsylvania State University; Nasr Ghahramani, Pennsylvania State University; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Somnath Datta, University of Florida
11:25 AM	Accounting for Informative Observation Process in Transition Models of Binary Longitudinal Data: A Joint Model Approach Joe Bible, Clemson University; Paul S. Albert, National Cancer Institute; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:45 AM	Floor Discussion

160 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Novel Perspectives on the Estimation of Longitudinal Effects — Topic Contributed Papers
SSC (Statistical Society of Canada), ENAR, Biometrics Section
Organizer(s): Mireille Schnitzer, Université de Montréal
Chair(s): Mireille Schnitzer, Université de Montréal
10:05 AM	Dealing with Treatment-Confounder Feedback and Sparse Follow-Up in Longitudinal Studies: Application of a Marginal Structural Model in a Multiple Sclerosis Cohort Mohammad Ehsanul Karim, University of British Columbia; Helen Tremlett, University of British Columbia; Feng Zhu, University of British Columbia; John Petkau, University of British Columbia; Elaine Kingwell, University of British Columbia
10:25 AM	A Test for the Correct Specification of Marginal Structural Models Presentation Denis Talbot, Universite Laval; Alioune Sall, Universite Laval; Karine Aube, Universite Laval; Xavier Trudel, Universite Laval; Chantal Brisson, Universite Laval
10:45 AM	Longitudinal Data from Electronic Health Records: Handling Irregular and Informative Observation Eleanor Pullenayegum, Hospital for Sick Children
11:05 AM	Causal Effects Using Longitudinal Modified Treatment Policies Iván Díaz, Weill Cornell Medicine
11:25 AM	Mediation Analysis When Outcome and Mediator Are Semi-Competing Events with Application in Health Disparities Research Linda Valeri, Columbia
11:45 PM	Floor Discussion

163 !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Biometrics Section Byar Award Student Paper Session II — Topic Contributed Papers
Biometrics Section
Organizer(s): Samrachana Adhikari, NYU School of Medicine
Chair(s): Samrachana Adhikari, NYU School of Medicine
10:05 AM	Function-On-Function Kriging, with Applications to 3D Printing of Aortic Tissues Presentation Jialei Chen, Georgia Tech; Simon Mak, Duke University; Roshan Joseph, Georgia Tech; Chuck Zhang, Georgia Tech
10:25 AM	A Revisit to De-Biased Lasso for Generalized Linear Models Lu Xia, University of Michigan, Ann Arbor; Bin Nan, University of California, Irvine; Yi Li, University of Michigan
10:45 AM	Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data Minjie Wang, Rice University; Genevera Allen, Rice University
11:05 AM	Asymptotically Independent U-Statistics in High-Dimensional Testing Yinqiu He, University of Michigan; Gongjun Xu, University of Michigan; Chong Wu, Florida State University; Wei Pan, University of Minnesota
11:25 AM	Discussant: Jing Huang, University of Pennsylvania Perelman School of Medicine
11:45 AM	Floor Discussion

164 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Leveraging Real-World Data in the Drug Development Process — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Health Policy Statistics Section
Organizer(s): Rebecca A Hubbard, University of Pennsylvania
Chair(s): Nandita Mitra, University of Pennsylvania
10:05 AM	Hybrid Controlled Trials with EHR-Derived Data for Cancer Trials: What, Why, When, and How Brian Segal, Flatiron Health; Melissa Curtis, Flatiron Health; Meghna Samant, Flatiron Health; Katherine Tan, Flatiron Health; Shrujal Baxi, Flatiron Health; Somnath Sarkar, Flatiron, Inc.
10:25 AM	Data-Adaptive Weighting of Real-World and Randomized Controls Using Propensity Scores Joanna Harton, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Rebecca A Hubbard, University of Pennsylvania
10:45 AM	Leveraging RWD and Historical Data in Design and Analysis of Clinical Trials Samson Ghebremariam, Novartis Pharmaceuticals; Lisa Hampson, Novartis Pharmaceuticals; Bharani Bharani-Dharan, Novartis Oncology; Amy Racine-Poon, Novartis Pharma AG; Beat Neuenschwander, Novartis pharmaceuticals
11:05 AM	Calibrated Survival Curve and Treatment Comparison with Imperfect Survival Outcomes from Electronic Health Records Chuan Hong, Harvard Medical School; Liang Liang, Harvard T. H. Chan School of Public Health; Tianxi Cai, Harvard University
11:25 AM	Discussant: Elizabeth Teeple, US Food and Drug Administration
11:45 AM	Floor Discussion

190	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Session on Semi-Supervised and Unsupervised Learning — Contributed Papers
Biometrics Section
Chair(s): Peng Jin, New York University
	Semi-Supervised Learning of Dense High-Dimensional Parameter Through Predictive Surrogates Jue Hou, Harvard T.H. Chan School of Public Health; Zijian Guo, Rutgers The State University of NJ; Tianxi Cai, Harvard University
	Modeling Trajectory of Thalamic Atrophy from Brain MRI Scans of Multiple Sclerosis Patients Using Mixed Spline Steven Cen, University of Southern California; Mulugeta Gebregziabher, Medical University of South Carolina; Daniel Pelletier, University of Southern California; Christina Azevedo, University of Southern California; Amirhossein Jaberzadeh, University of Southern California
	Biclustering via Feature Weighted Clustering Presentation Erika Helgeson, University of Minnesota
	Identifying Transgenerational Patterns of Correlated Methylation Sites Xichen Mou, University of Memphis; Hongmei Zhang, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad, University of Southampton; John Holloway, University of Southampton
	Conditional Functional Clustering for Longitudinal Data with Heterogeneous Nonlinear Patterns Tianhao Wang, Rush University Medical Center; Lei Yu, Rush University Medical Center
	Greedy Trend Test for Detecting Monotonic Patterns from a Composite Null with Applications in Biomedical Studies Presentation Chenxiao Hu, Oregon State University; Duo Jiang, Oregon State University

191	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Causal Inference — Contributed Papers
Biometrics Section
Chair(s): Jinchun Zhang, New York University School of Medicine
	Selection and Verification Propensity Matching in External Validation Studies Donna Pauler Ankerst, Technical University of Munich; Yiyao Chen, Technical University of Munich; Bryan E Shepherd, Vanderbilt University; Ruth Pfeiffer, National Cancer Institute
	Impact of inconsistent imputation models in mediation analysis Bo Ye, STATE UNIVERSITY OF NEW YORK AT ALBANY, School of Public Health; Recai Yucel, STATE UNIVERSITY OF NEW YORK AT ALBANY, School of Public Health
	Revisiting the Finite Selection Model for Causal Inference Ambarish Chattopadhyay, Harvard University; Carl Neracher Morris, Harvard University; Jose Zubizarreta
	Causal Inference Methods for Vaccine Sieve Analysis with Effect Modification Guandong Yang, University of Massachusetts Amherst; Laura B. Balzer, UMass Amherst; David Benkeser, Emory University
	A More Powerful Test of the Composite Null Hypothesis Arising in Mediation Analysis Presentation Caleb Miles, Columbia University; Antoine Chambaz, Universite Paris Descartes

192	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Study of Health Outcomes Using Large Cohort Data — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Yinqiu He, University of Michigan
	Weight Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute ; Mitchell H. Gail, National Cancer Institute
	A Flexible Approach to Modeling the Dependency of Health Outcomes on Dietary Intake Brenna Curley, Moravian College
	Modeling and Analysis of Sleep Apnea Events Data from Infants Using Pacifiers for Improved Diagnosis of Obstructive Sleep Apnea Presentation Sujay Datta, University of Akron
	Gestational Age and Disease Patterns in Early Childhood: A Comprehensive Study Using Large Sample Size Hacene Boukari, Delaware State University; Fatima Boukari, Delaware State University; Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
	Ensemble of Empirical Bayes Method to Integrate Summary-Level Information from Multiple External Studies into the Current Study Presentation Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
	Quantifying Patterns and Predictors of Respiratory Distress Using Time Series Methods Camille Hochheimer, The University of Virginia; Sarah Ratcliffe, The University of Virginia; Ronald Williams, The University of Virginia; Shrirang Gadrey, The University of Virginia Health System; William Ashe, The University of Virginia
	Quantile Probit Copula Model for the Joint Modeling of Correlated Binary Outcomes Presentation Roberta De Vito, Brown University; Isabella Grabski, Harvard University; Barbara Engelhardt, Princeton University

244 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Causal Inference with Applications for the Public Good — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section, Biopharmaceutical Section
Organizer(s): Fan Yang, University of Colorado Anschutz Medical Campus
Chair(s): Fan Yang, University of Colorado Anschutz Medical Campus
1:05 PM	Assessing Surrogate Paradox Risk in the Meta-Analytic Causal Association Framework Michael R Elliott, University of Michigan; Jeremy Taylor, University of Michigan; Yun Li, University of Pennsylvania Perelman School of Medicine & The Children’s Hospital of Philadelphia; Anna Conlon, University of Michigan; Nico Kaciroti, University of Michigan
1:30 PM	Tobacco Use Epidemic: Understanding Its Public Impact in the New Era Jing Cheng, University of California, San Francisco
1:55 PM	Experimental Evaluation of Computer-Assisted Human Decision Making: Application to Pretrial Risk Assessment Instrument Kosuke Imai, Harvard University; Zhichao Jiang, University of Massachusetts, Amherst; James Greiner, Harvard Law School; Ryan Halen, Harvard Law School; Sooahn Shin, Harvard University
2:20 PM	Causal Ball Screening: Outcome Model-Free Causal Inference with Ultra-High-Dimensional Covariates Dingke Tang, University of Science and Technology China; Dehan Kong, University of Toronto; Wenliang Pan, Sun Yat-Sen University; Linbo Wang, University of Toronto
2:45 PM	Floor Discussion

249 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Making Impact for the Public Health: Innovative Methods and Challenges in Large NIH Studies — Invited Papers
ENAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Xin Tian, National Heart, Lung and Blood Institute
Chair(s): Xin Tian, National Heart, Lung and Blood Institute
1:05 PM	New Development of Statistical Machine Learning Methods with Applications to Large NHLBI Longitudinal Studies Colin O. Wu, National Heart, Lung and Blood Institute, National Institutes of Health; Xin Tian, National Heart, Lung and Blood Institute
1:30 PM	Statistical Challenges in Infectious Diseases Dean Follmann, NIAID
1:55 PM	New Developments in Analyzing Dietary Quality Data Aiyi of Liu, NICHD/NIH
2:20 PM	Methodological Challenges in Cancer Epidemiology and Genetics Paul S. Albert, National Cancer Institute
2:45 PM	Floor Discussion

254 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Digital Phenotyping — Invited Papers
Mental Health Statistics Section, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Samprit Banerjee, Weill Medical College, Cornell University
Chair(s): Wenna Xi, Weill Medical College, Cornell University
1:05 PM	Digital Phenotype of Patients with Major Depressive Disorder Samprit Banerjee, Weill Medical College, Cornell University; Jihui Lee, Weill Cornell Medicine
1:25 PM	Physical Activity Recognition Using Smartphone Data Jukka-Pekka Onnela, Harvard University
1:45 PM	Using Federated Learning to Address User Heterogeneity and Privacy in Mobile Health Data Ambuj Tewari, University of Michigan
2:05 PM	A Pre-Processing Pipeline of MHealth Data Jihui Lee, Weill Cornell Medicine; Hongzhe Zhang, Weill Cornell Medicine; Samprit Banerjee, Weill Medical College, Cornell University
2:25 PM	Behavioral Monitoring and Change Point Detection in Digital Phenotyping Studies Ian Barnett, University of Pennsylvania
2:45 PM	Floor Discussion

256 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Contemporary Mixed Model Methodology and Applications — Invited Papers
Biometrics Section, Section on Statistical Computing, Section on Bayesian Statistical Science
Organizer(s): Maryclare Griffin, University of Massachusetts Amherst
Chair(s): Bright Boasiako, University of Massachusetts Amherst
1:05 PM	Information Sharing for Shorter Confidence Intervals, Shorter Prediction Intervals, and Smaller P-Values Peter Hoff, Duke University
1:25 PM	Detecting Genetic Interactions with the Marginal Epistasis Test Lorin Crawford, Brown University; Xiang Zhou, University of Michigan
1:45 PM	Consistent Maximum Likelihood Estimation In Mixed Models Using Subsets Karl Oskar Ekvall, Karolinska Institute; Galin Jones, University of Minnesota
2:05 PM	Better Together: Improved Estimation of Subject-Level Functional Connectivity with Empirical Bayes Shrinkage Mary Beth Nebel, Johns Hopkins University; Amanda Mejia, Indiana University; Brian Caffo, Johns Hopkins University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
2:25 PM	Model Testing for Generalized Scalar-On-Function Linear Models Ana Maria Staicu, North Carolina State University; Luo Xiao, North Carolina State University
2:45 PM	Floor Discussion

272 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Innovations in Regulatory Science — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, Health Policy Statistics Section
Organizer(s): Alejandra Avalos Pacheco, Harvard Medical School
Chair(s): Andrea Arfe, Harvard Medical School
1:05 PM	The Impact of Early Trials in Drug Development in Oncology: Design and Interpretation Alexia Iasonos, Memorial Sloan-Kettering Cancer Center
1:25 PM	A Semi-Mechanistic Dose-Finding Design in Oncology Using Pharmacokinetic/Pharmacodynamic Modeling Yisheng Li, University of Texas-MD Anderson Cancer Center; Xiao Su, PlayStation; Peter Müller, University of Texas Austin; Kim-Anh Do, The University of Texas MD Anderson Cancer Center
1:45 PM	Inference in response-adaptive clinical trials when the enrolled population varies over time Massimiliano Russo, Harvard Medical School; Lorenzo Trippa, Harvard School of Public Health; Steffen Ventz, Harvard School of Public Health; Victoria Wang, Harvard School of Public Health
2:05 PM	Leveraging External Data in Bayesian Adaptive Designs Alejandra Avalos Pacheco, Harvard Medical School; Steffen Ventz, Harvard School of Public Health; Lorenzo Trippa, Harvard School of Public Health; Brian Alexander, Foundation medicine; Andrea Arfe, Harvard Medical School
2:25 PM	Discussant: Lorenzo Trippa, Harvard School of Public Health
2:45 PM	Floor Discussion

277 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Estimand Framework and Its Impact on Drug Development in Oncology — Topic Contributed Panel
Biopharmaceutical Section, Lifetime Data Science Section, Biometrics Section
Organizer(s): Jonathan Siegel, Bayer Pharmaceuticals Inc.
Chair(s): Jonathan Siegel, Bayer Pharmaceuticals Inc.
1:05 PM	Impact of Estimand Framework on Oncology Drug Development
Panelists:	Steven Sun, Janssen Anja Schiel , Norwegian Medicines Agency Kunthel By, FDA Catherine Njue, Health Canada and ICH E9(R1) working group Richard J. Cook, University of Waterloo
2:45 PM	Floor Discussion

220189	Tue, 8/4/2020, 6:00 PM - 7:30 PM	Virtual
Virtual Biometrics Section Executive Meeting (Closed) — Other Cmte/Business
Biometrics Section
Chair(s): Sherri Rose, Harvard Medical School
The virtual Biometrics Section Executive Meeting is a closed meeting for officers. Contact Biometrics Section Chair Sherri Rose with questions.

282 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Complex Functional Data Analysis with Biomedical Applications — Invited Papers
Section on Nonparametric Statistics, Biometrics Section, IMS
Organizer(s): Kuang-Yao Lee, Temple University
Chair(s): Ana Kenney, Pennsylvania State University
10:05 AM	Domain Selection for Functional Linear Models: A Dynamic RKHS Approach Jane-Ling Wang, UC Davis
10:30 AM	On Sufficient Graphical Models Bing Li, Pennsylvania State University; Kyongwon Kim, Pennsylvania State University
10:55 AM	Nonparametric Functional Graphical Models Kuang-Yao Lee, Temple University; Lexin Li, University of California, Berkeley; Bing Li, Pennsylvania State University; Hongyu Zhao, Yale University
11:20 AM	Correcting Batch Effects in the Covariance Structures of Spatially-Dependent Multivariate Object Andrew Chen, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Haochang Shou, University of Pennsylvania
11:45 AM	Floor Discussion

285 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Statistical Inference for Probabilistic Graphical Models with Applications — Invited Papers
ENAR, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Mladen Kolar, University of Chicago
Chair(s): Mladen Kolar, University of Chicago
10:05 AM	Combinatorial Inference for Brain Imaging Data Sets Junwei Lu, Harvard
10:30 AM	Bayesian Structure Learning for Dynamic Brain Connectivity Presentation Sanmi Koyejo, Department of Computer Science, University of Illinois at Urbana-Champaign
10:55 AM	Detecting Differences in Brain-Region Correlations Between Two Groups Yuval Benjamini, Hebrew University of Jerusalem; Itamar Faran, Hebrew University of Jerusalem; Michael Peer, Hebrew University of Jerusalem ; Shahar Arzy, Hebrew University of Jerusalem
11:20 AM	Direct Inference for Sparse Differential Network Analysis Irina Gaynanova, Texas A&M University; Byol Kim, University of Chicago; Mladen Kolar, University of Chicago
11:45 AM	Floor Discussion

287 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Current and Future Challenges in Analyzing Composite Endpoints — Invited Papers
Lifetime Data Science Section, Biometrics Section, IMS
Organizer(s): Li-Shan Huang, National Tsing Hua University, TAIWAN
Chair(s): Li-Shan Huang, National Tsing Hua University, TAIWAN
10:05 AM	On the Intransitivity of the Win Ratio David Oakes, University of Rochester
10:30 AM	Benefit-Risk Assessment Using a Primary Endpoint and Secondary Measurements Mei-Cheng Wang, Johns Hopkins University
10:55 AM	Analysis of Cardiovascular Clinical Trials with Random Effects on Health Conditions at Entry Mei-Ling Ting Lee, University of Maryland; John Lawrence, US FDA; Yiming Chen, University of Maryland, College Park; H. M. James Hung, CDER at FDA
11:20 AM	Joint Bayesian Nonparametric Models for Survival Times and Medical Costs Jason Roy, Rutgers University; Arman Oganisian, University of Pennsylvania; Nandita Mitra, University of Pennsylvania
11:45 AM	Floor Discussion

293 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Advances in the Analysis of Competing and Semi-Competing Risks Data in Medical Research — Invited Papers
Biometrics Section, Committee on Applied Statisticians, Statistical and Applied Mathematical Sciences Institute, Lifetime Data Science Section
Organizer(s): Sujata M Patil, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya Satagopan, Rutgers University School of Public Health
10:05 AM	Nonparametric Tests for Transition Probabilities in Nonhomogeneous Markov Processes Giorgos Bakoyannis, Indiana University
10:30 AM	Analyzing Semi-Competing Risks Data as a Longitudinal Bivariate Process Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health; Daniel Nevo, University of Tel Aviv
10:55 AM	Endpoints and Treatment Effect Testing in Cancer Clinical Trials with Competing Risks James Dignam, Dept of Public Health Sciences, University of Chicago
11:20 AM	Methods for Estimation and Inference of Cumulative Incidence with Missing Cause of Failure Andrea Knezevic, Memorial Sloan Kettering Cancer Center; Sujata M Patil, Memorial Sloan Kettering Cancer Center
11:45 AM	Floor Discussion

299 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Machine Learning in Causal Inference with Applications in Complicated Settings — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Rui Song, NC State University
Chair(s): Hongtu Zhu, University of North Carolina at Chapel Hill
10:05 AM	DOES the MARKOV DECISION PROCESS FIT the DATA: TESTING for the MARKOV PROPERTY in SEQUENTIAL DECISION MAKING Presentation Chengchun Shi, The London School of Economics; Runzhe Wan, NC State Univeristy; Rui Song, NC State University; Wenbin Lu, North Carolina State University; Ling Leng, Amazon
10:25 AM	The Confidence Interval Method for Selecting Valid Instrumental Variables Frank Windmeijer, University of Oxford
10:45 AM	Testing an Elaborate Theory of a Causal Hypothesis Dylan Small, University of Pennsylvania; Bikram Karmakar, University of Florida
11:05 AM	Personalized Policy Learning Using Longitudinal Mobile Health Data Min Qian, Columbia University; Xinyu Hu, Uber AI Lab; Bin Cheng, Columbia University; Ken Cheung, Columbia University
11:25 AM	Discussant: Jialiang Li, National University of Singapore
11:45 AM	Floor Discussion

300 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
The Appeal of Quantum Computing in Statistical Science — Topic Contributed Papers
Quantum Computing in Statistics and Machine Learning, Section on Statistical Computing, Biometrics Section
Organizer(s): Sergei Leonov, CSL Behring
Chair(s): Valerii Fedorov, ICONplc
10:05 AM	Quantum Approximate Bayesian Computation Dries Sels, Harvard University
10:25 AM	Quantum Amplitude Estimation in the Presence of Noise Eric Brown, Agnostiq Inc.; Weng Kian Tham, University of Toronto; Oktay Goktas, Agnostiq Inc
10:45 AM	Designing Peptides on a Quantum Computer Hans Melo, Menten Al, Inc
11:05 AM	Discussant: Maxwell Henderson, Rigetti
11:25 AM	Discussant: Lingzhou Xue, Penn State University and NISS
11:45 PM	Floor Discussion

302 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Statistical Methods for Data Integration — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, ENAR
Organizer(s): Quefeng Li, UNC Chapel Hill
Chair(s): Quefeng Li, UNC Chapel Hill
10:05 AM	Statistical Inference of Genetic Pathway Analysis Under High Dimensions Chad He, Fred Hutchinson Cancer Research Center; Yang Liu, Wright State University; Wei Sun, Fred Hutchinson Cancer Research Center; Alexander P. Reiner, Fred Hutchinson Cancer Research Center; Charles Kooperberg, Fred Hutchinson Cancer Research Center
10:25 AM	Robust Integrative Regression Analysis of High-Dimensional Heterogeneous Data Xiaoli Gao, University of North Carolina At Greensboro; Bin Luo, University of North Carolina at Greensboro
10:45 AM	Learning Predictive Models from Block-Missing Multi-Modality Data Guan Yu
11:05 AM	High-Dimensional Censored Quantile Regression Inference Qi Zheng, University of Louisville
11:25 AM	Floor Discussion

304 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Extrapolation as a Default Strategy in Pediatric Drug Development: Implications to Clinical Trial Designs and Statistical Analysis — Topic Contributed Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Margaret Gamalo, Eli Lilly & Co
Chair(s): Junjing Lin, Takeda
10:05 AM	Clinical Development Using Pediatric Extrapolation Presentation Robert "Skip" Nelson, J7J
10:25 AM	Real World Evidence Utilization in Pediatric Clinical Development Reflected by US Product Labeling: Statistical Review Yodit Seifu; Freda Cooner, Amgen Inc.; Margaret Gamalo-Siebers, Eli Lilly & Co; Junjing Lin, Takeda; Junshan Qiu, FDA/CDER; Shiling Ruan, Novartis; Ros Walley, UCB Celltech ; Sophie Barthel, PRA Health Sciences
10:45 AM	Hierarchical Models for Clinical Trials Involving Multiple Pediatric Cohorts Margaret Gamalo-Siebers, Eli Lilly & Co
11:05 AM	A Quantitative Method to Evaluate Exposure-Response Similarity Between Pediatrics and Adults to Support Efficacy Extrapolation Junshan Qiu, FDA/CDER; Margaret Gamalo-Siebers, Eli Lilly & Co; Freda Cooner, Amgen Inc.; Junjing Lin, Takeda; Yodit Seifu; Yaning Wang, FDA/CDER/DPM
11:25 AM	Bayesian Analysis in Pediatric Settings Presentation Mark Rothmann, Division of Biometrics II, Office of Biostatistics, OTS, CDER, FDA
11:45 AM	Floor Discussion

305 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Asymmetry in Objectives and Samples for Classification and Multiple Testing — Topic Contributed Papers
WNAR, IMS, Biometrics Section
Organizer(s): Xin Tong, University of Southern California
Chair(s): Jingyi Jessica Li, University of California, Los Angeles
10:05 AM	Optimal Hypergeometric Confidence Intervals Lijia Wang, University of Southern California; Jay Bartroff, University of Southern California; Gary Lorden, California Institute of Technology
10:25 AM	Neyman-Pearson Classification Under Label Noise Shunan Yao, University of Southern California; Bradley Rava, University of Southern California; Xin Tong, University of Southern California; Gareth James, University of Southern California
10:45 AM	Neyman-Pearson Classification of Dependent Data Yusheng Wu; Shunan Yao, University of Southern California; Xin Tong, University of Southern California
11:05 AM	Floor Discussion

307 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Advanced Survival Analysis Tools for Statistical Learning from Complex Scientific Studies — Topic Contributed Papers
Lifetime Data Science Section, Biometrics Section, ENAR
Organizer(s): Limin Peng, Emory University
Chair(s): Wenbin Lu , North Carolina State University
10:05 AM	Censored Linear Regression in the Presence or Absence of Auxiliary Survival Information Chiung-Yu Huang, University of California at San Francisco; Ying Sheng, University of California at San Francisco; Yifei Sun, Mailman School of Public Health, Columbia University; Detian Deng, Google
10:25 AM	Causal Mediation Analysis with Semi-Competing Risks Data Kwun Chuen Gary Chan, University of Washington; Fei Gao, Fred Hutchinson Cancer Research Center; Fan Xia, University of Washington
10:45 AM	Identification of Optimal Moderators for Time to Relapse Yu Cheng, University of Pittsburgh Department of Statistics; Bang Wang, University of Pittsburgh
11:05 AM	Flexible Semiparametric Latent Class Analysis of Recurrent Events Outcomes Limin Peng, Emory University; Wei Zhao, Emory University; John Hanfelt, Emory University
11:25 AM	Floor Discussion

311 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Modern Statistical Methods for Imaging Genomics — Topic Contributed Papers
Section on Statistics in Imaging, Biometrics Section, International Indian Statistical Association
Organizer(s): Shariq Mohammed, University of Michigan; Arvind Rao, University of Michigan
Chair(s): Arvind Rao, University of Michigan
10:05 AM	Thresholded Graph Laplacian Gaussian Priors for Bayesian Network Marker Selection with Application to Cancer Imaging Genomics Jian Kang, University of Michigan
10:25 AM	Issues in Integrating Genomics and Imaging Data in Cancer Debashis Ghosh, University of Colorado, School of Public Health
10:45 AM	Statistical Models for 3D Images Sayan Mukherjee, Duke University
11:05 AM	RADIOHEAD: Radiogenomic Analysis Incorporating Tumor Heterogeneity in Imaging Through Densities Shariq Mohammed, University of Michigan; Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University; Arvind Rao, University of Michigan; Veera Baladandayuthapani, University of Michigan
11:25 AM	A Bayesian 2D Functional Linear Model: Application to GLCM Matrices in LGG Cancer Radiomics Data Presentation Thierry Chekouo , University of Calgary; Shariq Mohammed, University of Michigan; Arvind Rao, University of Michigan
11:45 AM	Floor Discussion

314 * !	Wed, 8/5/2020, 10:00 AM - 11:50 PM	Virtual
Statistical Advancements in Neurodegeneration Trial Designs and Analyses — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Biopharmaceutical Section, Biometrics Section, Committee on Applied Statisticians
Organizer(s): Fanni Natanegara, Eli Lilly and Company
Chair(s): Fanni Natanegara, Eli Lilly and Company
10:05 AM	Impact of Model Misspecification on Alzheimer Trial Operating Characteristics Saptarshi Chatterjee, Eli Lilly and Co; Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Fanni Natanegara, Eli Lilly and Company
10:25 AM	Multivariate Endpoint, Disease Progress Model and Other New Features of the DIAN-TU Platform Trial Guoqiao Wang, Washington University in St Louis; Scott Berry, Berry Consultants; Chengjie Xiong, Washington University in St Louis; Jason Hassenstab, Washington University in St Louis; Melanie Quintana, Berry Consultants; Eric McDade, Washington University in St Louis; Paul Delmar, F. Hoffmann-La Roche Ltd; Matteo Vestrucci, University of Texas at Austin; Randall Bateman, Washington University in St Louis; Andrew Aschenbrenner, Washington University in St Louis
10:45 AM	TRCPAD: Accelerating Participant Recruitment in Alzheimer’s Disease Clinical Trials Using Machine Learning Techniques Oliver Langford, University of Southern California; Michael C Donohue, University of Southern California; Gustavo Jimenez-Maggiora, University of Southern California; Reisa Sperling, Harvard Medical School; Jeff Cummings, Cleveland Clinic Lou Ruvo Center for Brain Health; Paul S Aisen, University of Southern California; Rema C Raman, University of Southern California
11:05 AM	Construction of Composite End Points to Better Align with Disease Progression and Improve Power Samuel P Dickson, Pentara; Suzanne B Hendrix, Pentara; Newman Knowlton, Pentara; Noel Ellison, Pentara
11:25 AM	Discussant: Richard Entsuah, Merck
11:45 AM	Floor Discussion

316 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Statistical Leadership for the Future of Healthcare Industry — Topic Contributed Panel
Caucus for Women in Statistics, Biopharmaceutical Section, Committee on Career Development, Biometrics Section
Organizer(s): Rong Liu, BMS; Rui Sammi Tang, Servier Pharmaceuticals
Chair(s): Rong Liu, BMS
10:05 AM	Statistical Leadership for the Future of Healthcare Industry
Panelists:	Zoran Antonijevic Ouhong Wang, Vertex Richard Vonk, Bayer Oncology Qi Jiang, Seattle Genetics Liang Fang, Myokardia Rui Sammi Tang, Servier Pharmaceuticals
11:40 AM	Floor Discussion

320	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Methods Tailored to Unique Data and Trial Features — Contributed Papers
Section on Medical Devices and Diagnostics, Biopharmaceutical Section, Biometrics Section
Chair(s): James Bost, Children's National Hospital
	Efficacy Lead-In Phase 2 Single-Arm Trial Designs Seongho Kim, Wayne State University; Weng-Kee Wong, UCLA; Nithya Ramnath, Department of Medicine, University of Michigan; Manohar Ratnam, Department of Oncology, Wayne State University
	Order Constrained ROC Regression with Application to Facial Recognition Presentation Xiaochen Zhu, George Mason University; Martin Slawski, George Mason Univ; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
	The Impact of Misclassification on Covariate-Adaptive Randomized Clinical Trials Tong Wang, Texas A&M University; Wei Ma, Institute of Statistics and Big Data, Renmin University of China
	Median Regression Models for Clustered, Interval-Censored Survival Data: An Application to Prostate Surgery Study Piyali Basak, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital; Debajyoti Sinha, Florida State University
	Inference with Joint Models Under Mis-specified Random Effects Distributions Abdus Sattar; Sanjoy K. Sinha, Carleton University
	Gumbel Regression Models for Longitudinal Continuous Biomarker Outcome Subject to Measurement Error Noorie Hyun, Medical College of Wisconsin; David Couper, University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina at Chapel Hill
	A Regression Approach to Estimating the Discrete Diagnostic Likelihood Ratio for Nontraditional Biomarkers Hanna Lindner, University of Pennsylvania; Warren Bilker, University of Pennsylvania; Phyllis Gimotty, University of Pennsylvania

337	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Approaches for Modeling Clustered and Longitudinal Data — Contributed Papers
Biometrics Section
Chair(s): Savannah Bergquist, Haas School of Business, University of California, Berkeley
	Inference for the Area Under the Curve (AUC) in a Three-Level Clustered Data Setting Camden Bay, Brigham and Women's Hospital; Bernard Rosner, Brigham and Women's Hospital; Robert Glynn, Brigham and Women's Hospital
	The Effect of Covariate-Dependent Correlations on the Efficiency of GEE Models for Clustered Binary Data Lee Kennedy-Shaffer, Harvard University; Michael David Hughes, Harvard University
	Joint Models for Multiple Ratings of a Discrete Diagnostic Test and Associated Auxiliary Variables Xianling Wang, University of Pittsburgh; Gong Tang, University of Pittsburgh
	Exploration of Misspecification in Latent Class Trajectory Analysis and Growth Mixture Modeling: Correlation Structure Matters Megan Neely, Biostatistics & Bioinformatics Dept., Duke University; Jane Pendergast, Duke University Department of Biostatistics and Bioinformatics; Natasha Dmitreava, Duke University Medical Center ; Carl Pieper, Duke University Department of Biostatistics and Bioinformatics
	Statistical Methods for Dealing with Missing Data in Longitudinal Studies Panpan Zhang, University of Pennsylvania; Sharon Xiangwen Xie, University of Pennsylvania
	An Intensive Longitudinal Functional Data with Multiple Time Scales Mostafa Zahed, -
	Multivariate Generalized Linear Model for Intensive Longitudinal Data with Incorporation of Outcome Variability as a Predictor Maryam Skafyan

338	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Semiparametric and Non-Parametric Methods in Survival Analysis — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Samrachana Adhikari, NYU School of Medicine
	Kaplan-Meier Estimation for Correlated Data Bernard Rosner, Brigham and Women's Hospital; Camden Bay, Brigham and Women's Hospital; Mei-Ling Ting Lee, University of Maryland; Robert Glynn, Brigham and Women's Hospital
	Non-Parametric Inference in the Accelerated Failure Time Model Using Restricted Means Mihai Giurcanu, University of Chicago; Theodore Karrison, University of Chicago
	Influence Function-Based Empirical Likelihood Inference for Quantile Medical Costs with Censored Data Gengsheng Qin, Georgia State University; Jenny Jeyarajah, Georgia State University; Guanhao Wei, Georgia State University
	Evaluation of Joint Frailty Models in the Context of Recurrent Cardiovascular Events and Mortality Data Wei Li, Alnylam Pharmaceuticals; Jihong Chen, Alnylam Pharmaceuticals; Ally Qiuling He, Alnylam Pharmaceuticals; Nancy Silliman, Alnylam Pharmaceuticals
	A Comparison of Modeling Techniques to Predict Time to Recurrence of Early Stage Oral Squamous Cell Carcinoma Nilesh Shah, University of Pittsburgh; Yingci Liu, University of Pittsburgh
	On the Nested Case-Control Design and Model Selection Michelle Nuno; Dan Gillen, University of California, Irvine
	Stratified Proportional Hazards Models for Multivariate Interval-Censored Data with Time-Dependent Covariates Kaitlyn Cook, Harvard University; Rui Wang, Harvard University

339	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Individual Treatment Rule and Precision Medicine — Contributed Papers
Biometrics Section
Chair(s): Hyung Park, New York University
	Finding Genetic Modifiers Associating with Vascular Disease Severity in Williams Beuren Syndrome Delong Liu, National Institutes of Health; Phoebe Parrish, National Institutes of Health; Charles Billington, National Institutes of Health; Russell Knutsen, National Institutes of Health; Beth Kozel, National Institutes of Health
	Distributed Learning from EHRs Across Multiple Sites for Zero-Inflated Count Outcomes, with Application to Understanding Risk Factors of Avoidable Hospitalization Admission Mackenzie Edmondson, University of Pennsylvania; Chongliang Luo, University of Pennsylvania; Rui Duan, University of Pennsylvania; Mitchell Maltenfort, Children's Hospital of Philadelphia; Christopher Forrest, Children's Hospital of Philadelphia; Yong Chen, University of Pennsylvania
	Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes Yuan Chen, Columbia University; Donglin Zeng, University of North Carolina at Chapel Hill; Yuanjia Wang, Columbia University
	Statistical Method for Small-Sample Inferences of Multi-Way Data Bin Guo, University of Minnesota; Baolin Wu, University of Minnesota; Lynn Eberly, University of Minnesota
	Estimating Individualized Treatment Rules for Multicategory Type 2 Diabetes Treatments Using Electronic Health Records Jitong Lou, University of North Carolina At Chapel Hill; Yuanjia Wang, Columbia University; Donglin Zeng, University of North Carolina at Chapel Hill
	Quantifying Physical Activity with Smartphone Accelerometry Josh Barback, Harvard Biostatistics Department
	On Stability of Mixture Cure Models Jia Bao, New York University; Yongzhao Shao, New York University School of Medicine

340	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Novel Methods for Microbiome and Metabolomic Disease — Contributed Papers
Biometrics Section
Chair(s): Joanna Harton, University of Pennsylvania
	Powerful and Robust Nonparametric Association Testing for Microbiome Data via a Zero-Inflated Quantile Approach Wodan Ling, Fred Hutchinson Cancer Research Center; Michael C Wu, Fred Hutchinson Cancer Research Center
	Quantifying and Association Testing of Microbiome Alpha Diversity Shilan Li, NCI; Jianxin Shi, National Cancer Institute
	Complex Trait Genetics Through the Lens of Regulatory Networks Xiang Zhu, Stanford University; Zhana Duren, Stanford University; Wing Hung Wong, Stanford University
	WINN: Drift Correction by White Noise Normalization for Metabolomic Studies. Olga Demler, Harvard Medical School; Franco Giulianini, Harvard University; Samia Mora, Harvard University
	Flexible Dynamic Models for Longitudinal Microbiome Data Soo-Young Kim, Fred Hutchinson Cancer Research Center; Ollivier Hyrien, Fred Hutchinson Cancer Research Center; David Fredricks, Fred Hutchinson Cancer Research Center; Sujatha Srinivasan, Fred Hutchinson Cancer Research Center
	Differential Abundance Analysis with Bayes Shrinkage Estimation of Variance (DASEV) for Zero-Inflated Proteomic and Metabolomic Data Chi Wang, University of Kentucky; Zhengyan Huang, University of Kentucky; Andrew Lane, University of Kentucky; Teresa Fan, University of Kentucky; Rick Higashi, University of Kentucky; Heidi Weiss, University of Kentucky; Xiangrong Yin, University of Kentucky
	Using an Estimated Sparse Two-Level Gene-Pathway Network for Quadratic Discriminant Analysis to Predict Breast Cancer Patients’ Treatment Responses Liang Shan, UAB; Dongquan Chen, UAB; Inyoung Kim, Virginia Tech; Sejong Bae, UAB

384 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Statistical Advances in Diagnostic Medicine — Invited Papers
Section on Medical Devices and Diagnostics, Biometrics Section, ENAR
Organizer(s): Lu Mao, University of Wisconsin-Madison
Chair(s): Yi Chen, University of Wisconsin-Madison
1:05 PM	Statistical Inference on the Accuracy of Computer-Aided Diagnosis (CAD) Using Artificial Intelligence-Based Systems Xiao-Hua Zhou, Peking University
1:30 PM	Early Diagnosis of Neurological Disease Using Peak Degeneration Ages of Multiple Biomarkers Fei Gao, Fred Hutchinson Cancer Research Center; Yuanjia Wang, Columbia University; Donglin Zeng, University of North Carolina at Chapel Hill
1:55 PM	Integrating Multiple-Domain Rules for Disease Classification Christine Mauro, Columbia University; Katherine Shear, Columbia University; Yuanjia Wang, Columbia University
2:20 PM	Nonparametric Optimal Rules for Combining Multiple Quantitative Imaging Biomarkers Lu Mao, University of Wisconsin-Madison
2:45 PM	Floor Discussion

385 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Bayesian Methods for the Analysis of Microbiome Count Data — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Biometrics Section
Organizer(s): Qiwei Li, The University of Texas at Dallas
Chair(s): Qiwei Li, The University of Texas at Dallas
1:05 PM	Multinomial Matrix Factorization for Microbiome Data Yang Ni, Texas A&M University
1:25 PM	A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study Kurtis Shuler, UCSC; Juhee Lee, UCSC; Irene Chen, University of California Santa Barbara; Samul Verbanic, University of California Santa Barbara
1:45 PM	HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity Shuang Jiang, Southern Methodist University
2:05 PM	Efficient Bayesian Estimation of Microbiome Association Networks Christine B. Peterson, The University of Texas MD Anderson Cancer Center; Nathan Osborne, Rice University; Marina Vannucci, Rice University
2:25 PM	Discussant: Xiaowei Zhan, The University of Texas Southwestern Medical Center
2:45 PM	Floor Discussion

386 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances of Causal Inference in Observational Studies — Invited Papers
WNAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Jingshen Wang, UC Berkeley
Chair(s): Mark Van der Laan, University of California, Berkeley
1:05 PM	Local Regression Distribution Estimators Presentation Xinwei Ma, University of California San Diego; Matias Cattaneo, Princeton University; Michael Jansson, University of California Berkeley
1:35 PM	Carving for Treatment Effect Estimation: Via Efficient Model Aggregation Snigdha Panigrahi, University of Michigan; Jingshen Wang, UC Berkeley; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
2:05 PM	Selecting Subpopulations for Causal Inference in Regression-Discontinuity Studies Fabrizia Mealli, University of Florence
2:35 PM	Floor Discussion

389 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Unsupervised Learning with Latent Variables for Biobehavioral Research — Invited Papers
Mental Health Statistics Section, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Douglas David Gunzler, Case Western Reserve University
Chair(s): Xiao-Li Meng, Harvard University
1:05 PM	Constructing Latent Risk Labels Aligned with Clinical Practice Presentation Booil Jo, Stanford University
1:25 PM	Looking Inside the Black Box: New Methods to Assess Causality in Unsupervised Machine Learning Alessandro De Nadai, Texas State University; Ryan Zamora, Texas State University; Douglas David Gunzler, Case Western Reserve University
1:45 PM	Dealing with Latent Variable Confounding Using Auxiliary Variables and PushForward Presentation Bryant Chen, Brex Inc.
2:05 PM	Discussant: Mark Van der Laan, University of California, Berkeley
2:25 PM	Discussant: Maya Mathur, Stanford University
2:45 PM	Floor Discussion

394 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Challenges and New Directions in Precision Medicine for Large-Scale and Complex Data — Invited Papers
Biometrics Section, Section on Statistical Learning and Data Science, International Chinese Statistical Association, Biopharmaceutical Section
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Min Qian, Columbia University
1:05 PM	Building Cancer Prognostic Models Generated via Automatic Data-Driven Sequential Processes Hyokyoung (Grace) Hong, Michigan State University
1:30 PM	On Restricted Optimal Treatment Regime Estimation for Competing Risks Data Jie Zhou, University of South Carolina; Jiajia Zhang, University of South Carolina; Wenbin Lu , North Carolina State University; Xiaoming Li, University of South Carolina
1:55 PM	Depth Importance in Precision Medicine (DIPM): A Tree- and Forest-Based Method for Right-Censored Survival Outcomes Victoria Chen, Yale University; Heping Zhang, Yale University
2:20 PM	Discussant: Yichuan Zhao, Georgia State University
2:40 PM	Floor Discussion

395 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
The Need for Interpretable and Fair Algorithms in Health Policy — Invited Panel
Health Policy Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Sherri Rose, Harvard Medical School
Chair(s): Laura Hatfield, Harvard Medical School
1:05 PM	The Need for Interpretable and Fair Algorithms in Health Care and Policy Presentation
Panelists:	Marzyeh Ghassemi, University of Toronto Melody Goodman, NYU Sherri Rose, Harvard Medical School Julius Adebayo, MIT
2:40 PM	Floor Discussion

398 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Beyond Traditional Approaches: Evolving Artificial Intelligence and Machine Learning to Advance Clinical Research and Drug Development — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, Section on Statistical Learning and Data Science, Text Analysis Interest Group
Organizer(s): Demissie Alemayehu, Pfizer Inc.
Chair(s): Birol Emir, Pfizer Inc.
1:05 PM	Adaptive Online Machine Learning for Real-Time Individualized Forecasting in Clinician-AI Team Rachael Phillips, University of California, Berkeley; Mark Van der Laan, University of California, Berkeley
1:25 PM	Recent Advances in the Application of Natural Language Processing to Unstructured and Semi-Structured Data in the Pharmaceutical Industry Presentation Peter Henstock, Pfizer Inc
1:45 PM	Learning Decision Rules with Observational Data Xinkun Nie, Stanford University; Stefan Wager, Stanford University
2:05 PM	“Data Nuggets” Tools for Analyzing Big Data Javier Cabrera, Rutgers University
2:25 AM	Floor Discussion

399 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Developments in Precision Medicine — Topic Contributed Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Xinyi Li, SAMSI / University of North Carolina at Chapel Hill
Chair(s): David Banks, Duke University / SAMSI
1:05 PM	Individualized Treatment Regimes Incorporating Imaging Features Xinyi Li, SAMSI / University of North Carolina at Chapel Hill; Michael R. Kosorok, University of North Carolina at Chapel Hill
1:25 PM	Precision Medicine Using a Joint Longitudinal-Survival Model Elizabeth Slate, Florida State University; Yuxi Zhao, Florida State University
1:45 PM	Personalized Monitoring Is Good for Patients and Clinical Science Glen Wright Colopy, Cenduit LLC
2:05 PM	Bayesian Pharmacokinetic Models for Dose Personalization Daniel Lizotte, University of Western Ontario; Demetri Pananos, University of Western Ontario
2:25 PM	Discussant: Marie Davidian, North Carolina State University
2:45 PM	Floor Discussion

402 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Methods for New Challenges in Lifetime/Complex Data — Topic Contributed Papers
Lifetime Data Science Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Tony Sit, The Chinese University of Hong Kong; Kin Yau Alex Wong, The Polytechnic University of Hong Kong
Chair(s): Qingning Zhou, University of North Carolina at Charlotte
1:05 PM	Simultaneous Monitoring for Regression Coefficients and Baseline Hazard Profile in Cox Modeling of Time-to-Event Data Jun Yan, University of Connecticut; Yishu Xue, University of Connecticut; Elizabeth Schifano, University of Connecticut
1:25 PM	Score Tests with Incomplete Covariates and High-Dimensional Auxiliary Variables Kin Yau Alex Wong, The Polytechnic University of Hong Kong
1:45 PM	Improving Efficiency of Analysis of Generalized Semiparametric Regression Models for Cumulative Incidence Functions with Missing Covariates Yanqing Sun, University of North Carolina At Charlotte; Fei Heng, University of North Florida; Unkyung Lee, Texas A&M University; Peter B Gilbert, University of Washington and Fred Hutchinson Cancer Research Center
2:05 PM	Locally Homogeneous Censored Quantile Regression Model with Time-Dependent Covariates Tony Sit, The Chinese University of Hong Kong
2:25 PM	Estimation of time-varying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic Yi Li, University of Michigan
2:45 PM	Floor Discussion

406 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Advances of Statistical Methodologies in Proteogenomics Research — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn Medical School at Mount Sinai
1:05 PM	Statistical Characterization of Quantitative Changes in Global Post-Translational Modification Profiling Experiments Tsung-Heng Tsai, Kent State University; Erik Verschueren, Genentech, Inc.; Olga Vitek, Northeastern University
1:25 PM	Repulsive Mixtures for the Classification of Single Cells Francesca Petralia, Icahn School of Medicine At Mount Sinai
1:45 PM	Extracting Biological Information from Extreme Values in Proteogenomics Data Wenke Liu; Kelly Ruggles, NYU school of medicine; David Fenyo, NYU school of medicine
2:05 PM	Sparse Multiple Co-Inertia Analysis with Application to Integrative Analysis of Multi -Omics Data Eun Jeong Min, Univerisity of Pennsylvania; Qi Long, University of Pennsylvania
2:25 PM	A New Molecular Signature Method for Prediction of Driver Cancer Pathways from Transcriptional Data Boris Reva
2:45 AM	Floor Discussion

410 *	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Benefit-Risk Methods for Medical Devices and Diagnostics — Topic Contributed Papers
Section on Medical Devices and Diagnostics, Biopharmaceutical Section, Biometrics Section
Organizer(s): Tyson Rogers, NAMSA
Chair(s): Richard Kotz, NAMSA
1:05 PM	Using Outcomes to Analyze Patients Rather Than Patients to Analyze Outcomes Scott Evans
1:25 PM	Using Patient-Centered Utility-Weighted Outcomes in a Bayesian Adaptive Enrichment Trial Kert Viele, Berry Consultants
1:45 PM	Classification Accuracy Goals for Diagnostic Tests Based on Risk Stratification Presentation Qin Li, Food and Drug Administration; Gene Pennello, Food and Drug Administration; Dandan Xu, Food and Drug Administration
2:05 PM	Discussant: Telba Irony, CBER – FDA
2:25 PM	Discussant: Gregory Campbell, GCStat Consulting
2:45 PM	Floor Discussion

414	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Making Questions Relevant and Assumptions Realistic: New Strategies for Causal Mediation — Topic Contributed Papers
Mental Health Statistics Section, Biometrics Section
Organizer(s): Donna L Coffman, Temple University
Chair(s): Donna L Coffman, Temple University
1:05 PM	Clarifying Causal Mediation Analysis for the Applied Researcher: Defining Effects Based on What We Want to Learn Trang Nguyen, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
1:25 PM	Identifying Potential Mediating Variables Using Variable Importance Measures Brian G Vegetabile, RAND Corporation; Donna L Coffman, Temple University; Daniel F McCaffrey, ETS
1:45 PM	Variable Selection for Causal Mediation Analysis Using LASSO-Based Methods Yeying Zhu, University of Waterloo; Zhaoxin Ye, University of Waterloo; Donna L Coffman, Temple University
2:05 PM	A New Solution to the Problem of Posttreatment Confounding in Causal Mediation Analysis Guanglei Hong, University of Chicago; Fan Yang, University of Colorado Anschutz Medical Campus; Xu Qin, University of Pittsburgh; Stephen Raudenbush, University of Chicago
2:25 PM	Instrumental Variable Methods Using Dynamic Interventions Jacqueline Mauro; Edward Kennedy, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
2:45 PM	Floor Discussion

428 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Methods for Healthcare Provider Profiling — Invited Papers
ENAR, Health Policy Statistics Section, Biometrics Section
Organizer(s): Kevin He, University of Michigan
Chair(s): Jian Kang, University of Michigan
10:05 AM	Indirect and Direct Standardization of Medical Provider Mortality Ratios John Kalbfleisch, University of Michigan; Kevin He, University of Michigan; Sehee Kim, University of Michigan; xuemei Ding, University of Michigan
10:30 AM	Improving the Identification of Extreme Clusters Using Multilevel Data John Neuhaus, University of California, San Francisco; Charles McCulloch, University of California, San Francisco
10:55 AM	Profiling Dialysis Facilities for Adverse Recurrent Events Damla Senturk, UCLA; Danh Nguyen, UC Irvine; Jason Estes, Google
11:20 AM	Statistical Considerations in Profiling Low-Volume Providers Katherine Panageas, Memorial Sloan Kettering Cancer Center; Jessica Lavery, Memorial Sloan Kettering Cancer Center; Bach Peter, Memorial Sloan Kettering Cancer Center; Allison Lipitz-Snyderman, Memorial Sloan Kettering Cancer Center
11:45 AM	Floor Discussion

430 * !	Thu, 8/6/2020, 10:00 AM - 11:50 PM	Virtual
Challenges and Recent Advances in High-Dimensional Mediation Analysis — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Peng Wei, The University of Texas MD Anderson Cancer Center
Chair(s): Tianzhong Yang, University of Minnesota
10:05 AM	Variance Component Tests of Multivariate Mediation Effects Under Composite Null Hypotheses Yen-Tsung Huang, Academia Sinica
10:35 AM	Group Testing in Mediation Analysis Joshua Sampson, National Cancer Institute; Andriy Derkach, Memorial Sloan Kettering Cancer Center; Simina Boca, Georgetown University
11:05 AM	Mediation Analysis of Multiple Time Series Xi Luo, University of Texas Health Science Center at Houston; Yi Zhao, Indiana University
11:50 AM	Discussant: Peng Wei, The University of Texas MD Anderson Cancer Center
11:35 AM	Floor Discussion

435 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Making the Most of Wearable Device Data: Functional Data Approaches — Invited Papers
Biometrics Section, Section on Medical Devices and Diagnostics, Section on Nonparametric Statistics
Organizer(s): Andrew Leroux, Johns Hopkins University
Chair(s): Andrew Leroux, Johns Hopkins University
10:05 AM	Functional Regression with Survey Weights and Its Application to NHANES 2003-2006 Lucia Tabacu, Old Dominion University ; Ekaterina Smirnova, Virginia Commonwealth University ; Andrew Leroux, Johns Hopkins University; Ciprian Crainiceanu , Johns Hopkins University
10:40 AM	Predicting GI Bleeds Using Wearable Device Data Julia Wrobel, Colorado School of Public Health
11:15 AM	Floor Discussion

442 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Methods for Single-Cell and Microbiome Sequencing Data — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Himel Mallick, Merck Research Laboratories
10:05 AM	Statistical Methods for Clustered Microbiome Data Zheng-Zheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
10:25 AM	Statistical Analysis of Coupled Single-Cell RNA-Seq and Immune Profiling Data Hongkai Ji, Johns Hopkins Univ, Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health
10:45 AM	Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Single Cell RNAseq Studies Ying Ma, University of Michigan; Xiang Zhou, University of Michigan; Shiquan Sun, University of Michigan
11:05 AM	Learning Directed Acyclic Graphs Integrating Bulk Tumor and Single Cell RNAseq Data Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Jie Peng, University of California Davis; Pei Wang, Icahn Medical School at Mount Sinai
11:25 AM	A Hierarchical Model for Microbial Abundance Observations Siyuan Ma, Harvard University
11:45 AM	Floor Discussion

445 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Complex Hypothesis Testing for Spatial, Functional and Neuroimaging Data — Topic Contributed Papers
ENAR, Biometrics Section, Section on Statistical Computing
Organizer(s): Meng Xu, University of Haifa
Chair(s): Meng Xu, University of Haifa
10:05 AM	Faster Permutation Inference in Brain Imaging Anderson Winkler, National Institutes of Health
10:25 AM	Graphical Monte Carlo and Permutation Tests with Functional Statistics Presentation Mari Myllymäki, Natural Resources Institute Finland (Luke)
10:45 AM	Applications of Global Envelope Test in Various Problems of General Statistics Tomáš Mrkvicka
11:05 AM	Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses Presentation Philip Reiss, University of Haifa; Meng Xu, University of Haifa
11:25 AM	Robust Testing in Generalized Linear Models by Sign-Flipping Score Contributions Presentation Jesse Hemerik, University of Oslo; Jelle Goeman, Leiden University Medical Center; Livio Finos, University of Padua
11:45 AM	Floor Discussion

456 !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
P-Values and "Statistical Significance": Deconstructing the Arguments — Topic Contributed Panel
Section on Statistical Consulting, Biometrics Section, IMS
Organizer(s): Deborah Mayo, Virginia Tech
Chair(s): Larry Wasserman, Carnegie Mellon University
10:05 AM	P-values and "Statistical Significance": Deconstructing the Arguments Presentation
Panelists:	Deborah Mayo, Virginia Tech Karen Kafadar, University of Virginia Ya’acov Ritov, University of Michigan Stanley Young, CGStat
11:40 AM	Floor Discussion

477	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Methods in Clinical Trials — Contributed Papers
Biometrics Section
Chair(s): Scott Alan Bruce, George Mason University
	Patient Recruitment Using Electronic Health Records: A Two-Phase Sampling Framework Guanghao Zhang, University of Michigan; Lauren J Beesley, University of Michigan; Xu Shi, University of Michigan
	Design and Analysis Considerations for Three-Level Cluster Randomized Trials with a Time-to-Event Outcome Ondrej Blaha, Yale University; Fan Li, Yale University; Denise Esserman, Yale University; Peter Peduzzi, Yale University; Yize Zhao, Yale University
	Evaluation of Dependency of Multiple Events Qian Li, Regeneron Pharmaceuticals - Tarrytown, N; Dateng Li, Regeneron Pharmaceuticals - Tarrytown, NY; Gregory Geba, Regeneron Pharmaceuticals - Tarrytown, NY
	Sample Size Calculation for Two-Arm Trials for the Non-Proportional Hazards Scenario Using Two Different Weibull Distributions Milind A Phadnis, University of Kansas Medical Center
	Sample Size Formulae for Trials Comparing Group and Individual Treatments with Repeated Measures: Robert Gallop
	When to Re-Randomize in a Two-Part Study? Michelle DeVeaux, Regeneron Pharmaceuticals; Bret Musser, Regeneron Pharmaceuticals

483	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Approaches in Precision Medicine — Contributed Papers
Biometrics Section
Chair(s): Lisa Bramer, National Security Directorate
	On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies Presentation Hengrui Cai, Department of Statistics, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University
	Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data Fei Xue; Yanqing Zhang, Yunnan University; Wenzhuo Zhou, University of Illinois at Urbana-Champaign; Haoda Fu, Eli Lilly and Company; Annie Qu, University of California Irvine
	Selection of the Optimal Personalized Treatment from Multiple Treatments with Right-Censored Multivariate Outcome Measures Chathura Siriwardhana, University of Hawaii; Somnath Datta, University of Florida; KB Kulasekera, University of Louisville
	Mean-Weighted Case Specific Random Forests for Estimating Causal Effects Presentation Michael Higgins, Kansas State University; Linus Addae, Kansas State University
	Application of Mixture Model on Loess Approximation at Common Time Points to Classify Longitudinal Data with Irregular Spaced Intervals Mosammat Tanbin; Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
	Estimating the Treatment Effect on Medical Cost Trajectory Using Inverse Probability of Treatment Weighting Method and I-Splines Indranil Ghosh, University of Louisville

484	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Methods for High-Dimensional Data in Genetics and Genomics — Contributed Papers
Biometrics Section
Chair(s): Olivia Hogue, Cleveland Clinic and Case Western Reserve University
	Robust Estimation of Large Covariance Matrix for Compositional Data with Application to Microbial Inter-Taxa Analysis Arun Srinivasan, Penn State University; Danning Li, Jilin University; Lingzhou Xue, Penn State University and NISS; Xiang Zhan, Pennsylvania State University
	Covariate Adaptive Family-Wise Error Rate Control for Genome-Wide Association Studies Huijuan Zhou, Texas A&M University; Xianyang Zhang, Texas A&M University; Jun Chen, Mayo Clinic
	A Novel Method for Differential Gene Expression Analysis in Single-Cell RNA Sequencing Data with Multiple Subjects Yunqing Liu, Yale School of Public Health; Zuoheng Wang, Yale University; Xiting Yan, Yale School of Medicine
	A Bayesian Model Averaging Approach for High-Throughput RNA-Seq Count Data (BMAseq) and Its Applications Lingsong Meng, University of Florida; Xiaoting Xing, Sanofi; Xi Kathy Zhou, Weill Medical College of Cornell University
	Variable Selection in Nonparametric Additive Quantile Regression for Genomic Data with Priori Information Peitao Wu, Boston University; Josee Dupuis, Boston University School of Public Health; Ching-Ti Liu, Boston University

485	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
A Unified View on Model Selection — Contributed Papers
Biometrics Section
Chair(s): Roberta De Vito, Brown University
	Bayesian Logistic Regression and Survival Models with Structured Priors for Microbiome Feature Selection Liangliang Zhang, M.D. Anderson Cancer Center; Yushu Shi, University of Texas MD Anderson Cancer Center; Kim-Anh Do, The University of Texas MD Anderson Cancer Center; Robert Jenq, The University of Texas MD Anderson Cancer Center; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
	A-I-(Don't)-C the Future: A New Class of Selection Criteria Geared Towards (Better) Prediction Javier Flores, University of Iowa; Joseph Cavanaugh, University of Iowa
	Spike-And-Slab LASSO for Estimation and Variable Selection in Longitudinal Mixed Endpoints Data with High-Dimensional Covariates Yunusa Olufadi, University of Memphis; Ebenezer Olusegun George, University of Memphis
	A Splitting and Smoothing Approach for the Cox Regression with High-Dimensional Interval Censored Data Rui Yang, UCLA/Covance Inc.; Gang Li, University of California, Los Angeles
	Microbial Interaction Network Estimation via Bias-Corrected Graphical Lasso Duo Jiang, Oregon State University; Thomas Sharpton, Oregon State University; Yuan Jiang, Oregon State University
	Estimating Overall Contribution of High-Dimensional Predictors with Measurement Error Jianxin Shi, National Cancer Institute; Soutrik Mandal, National Cancer Institute; Do Hyun Kim, Biostatistics Branch, DCEG, NCI
	Bayesian Inference Methods for Generalized Linear Models with Shrinkage Priors and Data Augmentation Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N. Rai, University of Louisville

486	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Missing Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Samrachana Adhikari, NYU School of Medicine
	Data-Driven Methods for Missing Data Imputation Yan Ma, George Washington University; Yihe Huang , George Washington University
	Sensitivity Analysis for Missing Not at Random Data in Electronic Health Records-Based Research Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health
	Augmented Inverse Probability Weighted Estimation for Linear Regression Model with Censored Covariate Presentation Yukun Li, University of Massachusetts; Jing Qian, University of Massachusetts
	A Comparison of Imputation Methods for Missing Multi-Item Scales in Mental Health Settings Panteha Hayati Rezvan, University of California Los Angeles; Thomas R. Belin, UCLA
	Weighted Mean Difference Statistics for Paired Biomarker Data in Presence of Missing Values Li Chen, University of Kentucky; Yuntong Li, University of Kentucky; Brent Shelton, University of Kentucky; Chi Wang, University of Kentucky; William St Clair, University of Kentucky; Heidi Weiss, University of Kentucky; John Villano, University of Kentucky; Arnold Stromberg, University of Kentucky
	Approaches for Missing Covariate Data in Logistic Regression with MNAR Sensitivity Analyses Ralph Ward, Charleston Health Equity and Rural Outreach Innovation Center (HEROIC)

518 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Modern Graphical Modeling of Complex Biomedical Systems — Invited Papers
ENAR, Biometrics Section, Journal on Statistical Analysis and Data Mining
Organizer(s): Lili Zhao, University of Michigan
Chair(s): Zhenke Wu, University of Michigan
1:05 PM	Edge-Selection Priors for Graphs Estimation with Applications to Complex Data Marina Vannucci, Rice University
1:30 PM	Improved Causal Structure Learning in Large Random Networks Ali Shojaie, University of Washington
1:55 PM	A Tripartite Latent Graph for Phenotype Discovery in EHR Data Peter Müller, University of Texas Austin; Yang Ni, Texas A&M University; Yuan Ji, University of Chicago
2:20 PM	Personalized Integrated Network Estimation Veera Baladandayuthapani, University of Michigan; Min Jin Ha, UT MD Anderson Cancer Center; Francesco Stingo, University of Florence; Yang Ni, Texas A&M University
2:45 PM	Floor Discussion

521 *	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Methods and Novel Applications for Data with Hierarchies and Under/Over-Dispersion — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Heejung Bang, Division of Biostatistics, University of California
Chair(s): Heejung Bang, Division of Biostatistics, University of California
1:05 PM	Handling Negative Correlation and/or Over/Underdispersion in Gaussian and Non-Gaussian Hierarchical Data Geert Molenberghs, Universiteit Hasselt & KU Leuven
1:30 PM	Overdispersion Models for Correlated Multinomial Data: Applications to Blinding Assessment Victoria Landsman, Institute for Work and Health
1:55 PM	Meta-Analysis of Summary Statistics from K X M Tables Accounting for Over-Dispersion Majnu John, Northwell Health/Hofstra; Heejung Bang, Division of Biostatistics, University of California; Victoria Landsman, University of Toronto
2:20 PM	Analyzing Continuous Longitudinal Response Data with Ordinal Regression Models Bryan E Shepherd, Vanderbilt University; Yuqi Tian, Vanderbilt University; Jonathan Schildcrout, Vanderbilt University
2:45 PM	Floor Discussion

522 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
New Statistical Methods for Emerging Linked Data and Multi-View Data — Invited Papers
Biometrics Section, ENAR, Section on Statistics in Genomics and Genetics
Organizer(s): Luo Xiao, North Carolina State University
Chair(s): Gen Li, Columbia University
1:05 PM	Rank-Based Approaches for Integrative Analysis of Data from Multiple Sources Presentation Grace Yoon, Texas A&M University; Irina Gaynanova, Texas A&M University
1:30 PM	A Linked Data Model for Decomposition of Biologically Structured Gene Expression Matrix Environments Huan Chen, Johns Hopkins University; Luo Xiao, North Carolina State University; Carlo Colantuoni, Johns Hopkins University; Brian Caffo, Johns Hopkins University
1:55 PM	Combining Two Views of Microbiome Data: Relative Abundances and Taxonomy Jacob Bien, University of Southern California; Christian Müller, Ludwig-Maximilians-Universität München; Xiaohan Yan, Microsoft
2:20 PM	Integrative Factorization of Bidimensionally Linked Matrices Eric Lock, University of Minnesota
2:45 PM	Floor Discussion

525 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Translating Real-World Data into Real-World Evidence for Regulatory Decisions and Medical Practice: Opportunities and Challenges — Invited Papers
Biopharmaceutical Section, Biometrics Section, Health Policy Statistics Section
Organizer(s): Weili He, AbbVie
Chair(s): Hongwei Wang, AbbVie
1:05 PM	The Biostatistical Landscape of Regulations, Data Sources, Study Variables, and Estimands for Real-World Evidence Mark Steven Levenson, FDA/CDER
1:30 PM	The Biostatistical Landscape of RWE Study Design and Analysis Weili He, AbbVie
1:55 PM	The Biostatistical Landscape of Causal Inference Frameworks of Clinical Studies using RWD/RWE Presentation Martin Ho, FDA-CBER
2:20 PM	Discussant: Frank Rockhold, Duke
2:45 PM	Floor Discussion

526 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Novel Identification Frameworks for Causal Inference with Interference — Invited Papers
ENAR, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Xiaoxuan Cai, Yale University
Chair(s): Forrest W. Crawford, Yale University
1:05 PM	Identification of Causal Diffusion Effects Under Structural Stationarity Naoki Egami, Princeton University
1:30 PM	Identification of Causal Effects Under Contagion Presentation Xiaoxuan Cai, Yale University; Forrest W. Crawford, Yale University; Wen Wei Loh, University of Ghent
1:55 PM	Network Dependence and Confounding by Network Structure Can Lead to Invalid Inference Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health; Youjin Lee, University of Pennsylvania
2:20 PM	Identification and Estimation of Causal Effects from Dependent Data Ilya Shpitser, Johns Hopkins University; Eli Sherman, Johns Hopkins University
2:45 PM	Floor Discussion

534 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Bayesian Inference with Complex Biomedical Systems — Invited Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Jie He, School of Public Health, University of Michigan; Gary L Rosner, Johns Hopkins University
Chair(s): Jie He, School of Public Health, University of Michigan
1:05 PM	Quantifying HIV Transmission Flow from Cross-Sectional Viral Phylogenetic Deep Sequence Data: A Population-Based Study in Rakai, Uganda Presentation O. Ratmann, Imperial College London; X. Xi, Imperial College London; S. E. F. Spencer, University of Warwick; Joseph Kagaayi, Rakai Health Sciences Program; M. Kate Grabowski, Johns Hopkins School of Medicine; on behalf of, Rakai Health Sciences Program and PANGEA-HIV; Matthew Hall, Big Data Institute, University of Oxford
1:35 PM	Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model Tianjian Zhou, University of Chicago
2:05 PM	Probabilistic Modeling in Functional Data Analysis: Ideas and Applications Donatello Telesca, University of Califonia, Los Angeles
2:35 PM	Discussant: Jian Kang, University of Michigan
2:45 PM	Floor Discussion

540 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Methods for Adolescent HIV Trials — Topic Contributed Papers
Biometrics Section, ASA LGBTQ+ Advocacy Committee, Section on Statistics in Epidemiology
Organizer(s): Matthew Loop, UNC
Chair(s): Michael Hudgens, UNC
1:05 PM	Hidden Markov Models to Detect SMS Survey Compliance Patterns of Youth at High Risk for Acquiring HIV Enrolled in an MHealth Intervention Warren Comulada, UCLA; Heather J Gunn, UCLA; Dallas Swendeman, UCLA
1:25 PM	Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial David Benkeser, Emory University; Keith Horvath, University of California, San Diego; Cathy J Reback, Friends Research Institute; Joshua Rusow, Friends Research Institute; Michael Hudgens, UNC
1:45 PM	Using Multiple Imputation to Account for Uncertainty in Summary Scores Derived from Likert Scale Survey Items Evan Kwiatkowski, University of North Carolina At Chapel Hill
2:05 PM	Regression with biomarkers subject to upper limits of detection Kevin Donovan
2:25 PM	Floor Discussion

545	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Machine Learning and Nonparametric Methods in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section
Organizer(s): Ted Westling, University of Massachusetts Amherst
Chair(s): Marco Carone, Department of Biostatistics, University of Washington
1:05 PM	Efficient Estimation of Stochastic Intervention Effects in Causal Mediation Analysis Nima Hejazi, UC Berkeley; Iván Díaz, Weill Cornell Medicine; Mark Van der Laan, University of California, Berkeley
1:25 PM	Far from MCAR: Obtaining Population-Level Estimates of HIV Viral Suppression Laura B. Balzer, UMass Amherst; SEARCH Collaboration, Makerere University - UC San Francisco
1:45 PM	Nonparametric Tests of the Causal Null with Non-Discrete Exposures Ted Westling, University of Massachusetts Amherst
2:05 PM	Sensitivity Analysis via the Proportion of Unmeasured Confounding Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
2:25 PM	Two-Stage Super Learner for Predicting Healthcare Expenditures Ziyue Wu, Emory University; David Benkeser, Emory University; Seth Berkowitz, The University of North Carolina at Chapel Hill
2:45 PM	Floor Discussion

555 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
New Statistical Methods for Microbiome Data Analysis — Invited Papers
ENAR, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Gen Li, Columbia University
Chair(s): Huilin Li, New York University
3:05 PM	A Taxonomy-Regularized Regression Paradigm for Microbiome Compositional Data Gen Li, Columbia University
3:30 PM	Hypothesis Testing for Phylogenetic Composition: A Minimum-Cost Flow Perspective Hongzhe Li, University of Pennsylvania
3:55 PM	Phylogenetically-Informed Distance Methods for Microbiome Data Analysis Julia Fukuyama, Indiana University
4:20 PM	Bayesian Multinomial Logistic Normal Models Through Marginally Latent Matrix-T Processes Sayan Mukherjee, Duke University; Kimberly Roche, Duke University
4:45 PM	Floor Discussion

561 *	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Fine-Scale Inference from Aggregate-Level Genomic Data — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, International Chinese Statistical Association
Organizer(s): Yingying Wei, The Chinese University of Hong Kong
Chair(s): Yingying Wei, The Chinese University of Hong Kong
3:05 PM	CARseq: Cell Type Aware Analysis of RNA-Seq Data Wei Sun, Fred Hutchinson Cancer Research Center
3:30 PM	Deciphering Cellular Heterogeneity by Integrative Single-Cell and Bulk RNA-Seq Data Analysis Mingyao Li, University of Pennsylvania; Yafei Lyu, University of Pennsylvania; Jiaxin Fan, University of Pennsylvania; Rui Xiao, University of Pennsylvania
3:55 PM	Testing Cell-Type-Specific Mediation Effects in Genome-Wide Epigenetic Studies Zhonghua Liu , University of Hong Kong; Xiangyu Luo, Renmin University of China; Joel Schwartz, Harvard University; Andrea Baccarelli, Columbia University
4:20 PM	Dissecting High-Throughput (Epi)Genomics Signals from Heterogeneous Samples Hao Wu, Emory University; Ziyi Li, Emory University
10:15 AM	Floor Discussion

565 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Statistical Methods for Understanding Brain Organization — Invited Papers
Section on Statistics in Imaging, Biometrics Section, International Association for Statistical Computing
Organizer(s): Ani Eloyan, Brown University
Chair(s): Sherri Rose, Harvard Medical School
3:05 PM	Some Topics in Multimodal Neuroimaging Analysis Lexin Li, University of California, Berkeley
3:30 PM	Graph Theoretic Modeling of Brain Functional Connectivity Ani Eloyan, Brown University
3:55 PM	Reliable Estimation of Individual Brain Organization Leveraging Population and Spatial Information in a Bayesian Framework Amanda Mejia, Indiana University; Mary Beth Nebel, Johns Hopkins University; Yu Ryan Yue, Baruch College; Brian Caffo, Johns Hopkins University
4:20 PM	Discussant: Tingting Zhang, University of Virginia
4:45 PM	Floor Discussion

572 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Addressing Complications in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Chris Matt Manuel, Texas A&M University - Department of Statistics; Samiran Sinha, Texas A&M
Chair(s): Yang Ni, Texas A&M University
3:05 PM	A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity Yifan Cui, University of Pennsylvania; Eric Tchetgen Tchetgen, University of Pennsylvania
3:25 PM	Addressing Misclassification Bias of an Exposure Variable with Multiple Categories Samiran Sinha, Texas A&M; Chris Matt Manuel, Texas A&M University - Department of Statistics; Suojin Wang, Texas A & M University
3:45 PM	A Comparison of Singly and Multiply Robust Methods for Causal Inference in Failure Time Analyses Lan Wen; Miguel Hernan, Harvard University; James Robins, Harvard T.H Chan School of Public Health
4:05 PM	Estimation of Natural Indirect Effects Robust to Unmeasured Confounding and Mediator Measurement Error Isabel Fulcher, Harvard
4:25 PM	Using Instrumental Variables to Account for Unmeasured Confounding Under a Cox Model Extended to Non-Proportional Hazards James O'Malley, Dartmouth
4:45 PM	Floor Discussion

575 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Trial Design with Subpopulation Heterogeneity: What Is the Role of Real-World Evidence? — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Section on Bayesian Statistical Science
Organizer(s): Brian Hobbs, University of Texas at Austin
Chair(s): Emily Zabor, Cleveland Clinic
3:05 PM	Promise and Challenge of RWE for Drug Development Lei Nie , FDA; Ying Yuan, The University of Texas MD Anderson Cancer Center
3:25 PM	Evaluating Off-Label Use of Targeted Cancer Treatments: Generating RWE for Precision Medicine Using CancerLinQ Discovery (CLQD) Data Presentation Elizabeth Garrett-Mayer, American Society of Clinical Oncology; Melinda Kaltenbaugh, American Society of Clinical Oncology
3:45 PM	Dynamic Borrowing in the Presence of Treatment Effect Heterogeneity Presentation Joseph Koopmeiners, University of Minnesota; Ales Kotalik, University of Minnesota; David Vock, University of Minnesota
4:05 PM	A Bayesian Adaptive Design for Concurrent Trials Involving Biologically-Related Diseases Xun Jiang, Amgen
4:25 PM	Basket Trial Design: Challenges and Potential Solutions Presentation Alexander Kaizer, University of Colorado; Joseph Koopmeiners, University of Minnesota; Nan Chen, University of Texas M.D. Anderson Cancer Center; Brian Hobbs, University of Texas at Austin
4:45 PM	Floor Discussion

576 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Matching Methods for Causal Inference with Emerging Data and Statistical Challenges — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Shu Yang, North Carolina State University
Chair(s): Shu Yang, North Carolina State University
3:05 PM	Individualized Matched Design of Observational Studies Jose Zubizarreta
3:25 PM	Double Score Matching Estimators of Average and Quantile Treatment Effects Yunshu Zhang, North Carolina State University; Shu Yang, North Carolina State University
3:45 PM	Estimation for Imputed Survey Data Xiaofei Zhang, Iowa State University; Wayne A Fuller, Iowa State University
4:05 PM	Causal Inference with Free-Text in Both Randomized and Observational Settings Michael Baiocchi, Stanford University; Jordan Rodu, University of Virginia; Joshua Kravitz, Stanford University
4:25 PM	Machine Learning Methods for Causal Inference from Complex Observational Data Alexander Volfovsky, Duke University
4:45 PM	Floor Discussion

577 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Estimands: Some Perspectives from an FDA Working Group — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section
Organizer(s): Susan Duke, FDA
Chair(s): Susan Duke, FDA
3:05 PM	Estimands for Use in Pulmonary-Allergy US FDA Regulatory Submissions Dong-Hyun Ahn, FDA; Yongman Kim, FDA; Susan Duke, FDA
3:25 PM	Patient-Reported Outcome Time-to-Event Estimands in Lung Cancer Trials: What Is the Question? Presentation Mallorie Fiero, U.S. Food and Drug Administration; Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania; Jonathon Vallejo, FDA; Jiaxi Zhou, FDA; Ting-Yu Chen, FDA; Bellinda King-Kallimanis, FDA; Paul Kluetz, FDA; Rajeshwari Sridhara, FDA
3:45 PM	Safety Estimands: A Regulatory Perspective Cesar Torres, FDA; Gregory Levin, FDA; Mat Soukup, FDA; Sai Dharmarajan, FDA; Tae Hyun Jung, FDA; Maria Matilde S. Kam, OTS/CDER, FDA; Bo Li, FDA; Sirisha Mushti, FDA; Therri Usher, FDA; Jialu Zhang, FDA
4:05 PM	Estimands in Clinical Endpoint Bioequivalence Trials Wanjie Sun, FDA
4:25 PM	Discussant: Estelle Russek-Cohen, Retired FDA
4:45 PM	Floor Discussion

579 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
30 Years Journey of Bayesian Adaptive Designs: From Bayesian Monitoring to Dynamic Treatment Regime — in Honor of Dr. Peter Thall’s 70th Birthday — Topic Contributed Papers
Biopharmaceutical Section, WNAR, Biometrics Section
Organizer(s): Ruitao LIN, The University of Texas MD Anderson Cancer Center
Chair(s): Ying Yuan, The University of Texas MD Anderson Cancer Center
3:05 PM	Subgroup-Specific Dose Finding in Phase I Clinical Trials Based on Time to Toxicity Allowing Adaptive Subgroup Combination Andrew Genius Chapple, LSUHSC; Peter F. Thall, M.D. Anderson Cancer Center
3:25 PM	An Adaptive Trial Design to Optimize Dose Schedule Regimes with Delayed Outcomes Ruitao LIN, The University of Texas MD Anderson Cancer Center; Ying Yuan, The University of Texas MD Anderson Cancer Center; Peter F. Thall, M.D. Anderson Cancer Center
3:45 PM	Robust Adaptive Incorporation of Historical Control Data in a Randomized Trial of External Cooling to Treat Septic Shock Presentation Thomas Murray, University of Minnesota; Peter F. Thall, M.D. Anderson Cancer Center; Frederique ARTHUR Schortgen, Groupe Hospitalier Henri-Mondor; Sarah ARTHUR Zohar, Centre de Recherche des Cordeliers; Sandrine Katsahian, Hopital Europen Georges-Pompidou
4:05 PM	Rethinking Prior Effective Sample Size Satoshi Morita, Kyoto University
4:25 PM	Utilizing Bayesian Analysis for Probabilistic Decision Making in a Platform Clinical Trial J. Wathen, Gilead Sciences
4:45 PM	Floor Discussion

582 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Integrating Information from Different Data Sources: Some New Developments — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, ENAR
Organizer(s): Peisong Han, University of Michigan
Chair(s): Yang Chen, University of Michigan
3:05 PM	Analysis of Randomized Clinical Trials with Integrated Information from Real-World Evidence Studies Shu Yang, North Carolina State University; Lin Dong, Wells fargo; Xiaofei Wang, Duke University; Donglin Zeng, University of North Carolina at Chapel Hill; Jianwen Cai, University of North Carolina at Chapel Hill
3:25 PM	Use of Administrative Records to Improve Survey Inference While Protecting Confidentiality Qixuan Chen, Columbia University; Sharifa Williams, Nathan Kline Institute for Psychiatric Research; Yutao Liu, Columbia University
3:45 PM	Assembling Longitudinal Measurements for Life Course Analysis of Marker Trajectories Yifei Sun, Mailman School of Public Health, Columbia University
4:05 PM	Variable Selection for Proportional Hazards Models with High-Dimensional Covariates Subject to Measurement Error Baojiang Chen; Ao Yuan, Georgetown University Medical Center; Grace Yi, Unievrsity of Western Ontario
4:25 PM	Integrating Information from Existing Risk Prediction Models with No Model Details Peisong Han, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
4:45 PM	Floor Discussion

584 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Innovations and Breakthroughs in Oncology Dose Finding Designs for Time-to-Event Monitoring and Trial Acceleration in the New Age of Immunotherapy and Cell Therapy — Topic Contributed Papers
Section on Risk Analysis, Biopharmaceutical Section, Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Wei Zhong, Pfizer Inc
Chair(s): Christophe Le Corre, Pfizer Inc.
3:05 PM	TITE-BOIN-ET: Time-to-Event Bayesian Optimal Interval Design to Accelerate Dose-Finding Based on Both Efficacy and Toxicity Outcomes Kentaro Takeda, Astellas Pharma Global Development, Inc.
3:25 PM	Probability-of-Decision Designs to Accelerate Dose-Finding Trials Tianjian Zhou, University of Chicago; Yuan Ji, University of Chicago
3:45 PM	Novel Bayesian Adaptive Designs and Their Software Implementation for Phase I Clinical Trials with Late-Onset Toxicity Yanhong Zhou, MD Anderson Cancer Center; J. Jack Lee, MD Anderson Cancer Center; Ying Yuan, The University of Texas MD Anderson Cancer Center
4:05 PM	The Direct Time-to-Event (DTITE) Designs: A Novel Type of Oncology Dose-Escalation Designs with Late-Onset Toxicities Monitoring Wei Zhong, Pfizer Inc; Qing Xie, The Ohio State University; Ling Wang, Pfizer Inc.; Roberto Bugarini, Pfizer Inc
4:25 PM	New Paradigm of Dose Finding Designs in Cell Therapy Development: Challenges and Solutions Rachael Liu, Takeda Pharmaceuticals; Jianchang Lin, Takeda Pharmaceuticals; Pin Li, University of Michigan; Yuan Ji, University of Chicago; Jing Xu, Blue Bird
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association