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

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* = applied session ! = JSM meeting theme

Activity Details

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

30 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Quality in Numbers: NIH Experience in Data Repositories — Topic Contributed Papers
Caucus for Women in Statistics, Korean International Statistical Society, ENAR
Organizer(s): Dong-Yun Kim, National Heart Lung and Blood Institute/NIH
Chair(s): Dong-Yun Kim, National Heart Lung and Blood Institute/NIH
10:05 AM	NIDDK Data and Sample Repositories Presentation Elizabeth C Wright, NIDDK/NIH; Tolulope M Abidogun, National Institute of Diabetes Digestive and Kidney Diseases/NIH; Sharon M Lawlor, National Institute of Diabetes Digestive and Kidney Diseases/NIH; Rebecca M Rodriguez, National Institute of Diabetes Digestive and Kidney Diseases/NIH
10:25 AM	PubChem: A Public Chemical Information Resource for Big Data Chemistry Presentation Sunghwan Kim, National Institutes of Health
10:45 AM	Genomic Data for Everyone HeeJong Sung, NIH
11:05 AM	Discussant: Sun Jung Kang, National Institutes of Health
11:25 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

66	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Novel Bayesian Methodology with Health Applications — Contributed Papers
ENAR
Chair(s): Debamita Kundu, National Cancer Institute
	Variable Screening in Bayesian Longitudinal Mixture Models Md Nazir Uddin, University of Louisville; Jeremy Thomas Gaskins, University of Louisville; Kiranmoy Das, Indian Statistical Institute
	EHR Phenotyping of Depressed Patients: A Hierarchical Bayesian Latent Variable Modeling Approach Wenna Xi, Weill Medical College, Cornell University; Samprit Banerjee, Weill Medical College, Cornell University
	A Longitudinal Bayesian Mixed Effects Model with Hurdle Conway-Maxwell-Poisson Distribution Jeremy Thomas Gaskins, University of Louisville; Tong Kang, Department of Biostatistics, University of Florida; Somnath Datta, University of Florida; Steven Levy, Department of Preventive and Community Dentistry, University of Iowa
	Conditional Adaptive Bayesian Spectral Analysis of Replicated Multivariate Time Series Scott Alan Bruce, George Mason University; Zeda Li, Baruch College; Clinton Wutzke, George Mason University; Yang Long, Baruch College
	A Multilevel Mediation Model for Categorical Mediator and Outcome: Assessing the Impact of the HEART Care Pathway on Physician Inpatient Admitting Rates and Patient Admission Risk Ernest Shen, Kaiser Permanente; Aileen Baecker, Kaiser Permanente; Adam Sharp, Kaiser Permanente; Yi-Lin Wu, Kaiser Permanente; Benjamin Sun, University of Pennsylvania
	Predicting the Relapse of Psychotic Depression: A Bayesian Joint Modeling Approach Yiyuan Wu, Weill Cornell Medical College; Wenna Xi, Weill Medical College, Cornell University; Samprit Banerjee, Weill Medical College, Cornell University
	A Bayesian Nonparametric Approach for Estimating Causal Effects for Longitudinal Data Kumaresh Dhara, University of Florida; Michael Daniels, University of Florida

103 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Semiparametric Inference with High-Dimensional and Complex Data — Invited Papers
ENAR, IMS, Section on Nonparametric Statistics
Organizer(s): Zhiqiang Tan, Rutgers University
Chair(s): TBD TBD, TBD
1:05 PM	A Unifying Approach for Doubly-Robust L1-Regularized Estimation of Causal Contrasts Ezequiel Smucler, Universidad Torcuato Di Tella; James Robins, Harvard T.H Chan School of Public Health; Andrea Rotnitzky, Universidad Torcuato Di Tella
1:30 PM	Convex Loss Versus Semiparametric Likelihood Machine Learning Estimates Michael R. Kosorok, University of North Carolina at Chapel Hill
1:55 PM	Limit Distribution Theory for Multiple Isotonic Regression Qiyang Han, Rutgers University; Cun-Hui Zhang, Rutgers University
2:20 PM	Discussant: Zhiqiang Tan, Rutgers University
2:45 PM	Floor Discussion

114 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
ICH E9 R1 Addendum: Can We Deliver on the Promise? — Invited Panel
Council of Chapters, Biopharmaceutical Section, ENAR
Organizer(s): Pilar Lim, Janssen Research & Development, LLC; Akiko Okamoto, Janssen Research & Development, LLC
Chair(s): Pilar Lim, Janssen Research & Development, LLC
1:05 PM	ICH E9 R1 Addendum: Can We Deliver on the Promise? Presentation
Panelists:	Craig Mallinckrodt, Biogen Steve Ruberg, Analytix Thinking, LLC Elena Polverejan, Janssen Pharmaceuticals Scott Emerson, University of Washington H. M. James Hung, CDER at FDA
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

139 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Challenges and Breakthroughs in Biomedical High-Dimensional Data Analysis in the Big Data Era — Invited Papers
Caucus for Women in Statistics, Committee on Women in Statistics, ENAR
Organizer(s): Zhigang Li, University of Florida
Chair(s): Zhigang Li, University of Florida
10:05 AM	Smoothing Kernels for Categorical and Mixed-Scale Data in Density Estimation Marianthi Markatou, University at Buffalo
10:30 AM	Learning Survival from EMR/EHR Data to Estimate Treatment Effects Using High-Dimensional Claims Codes Presentation Ronghui Xu, University of California, San Diego; Jelena Bradic, UC San Diego; Jue Hou, Harvard T.H. Chan School of Public Health; Andrew Ying, University of California San Diego
10:55 AM	A Low-Rank Multivariate General Linear Model for Multi-Subject fMRI Data Tingting Zhang, University of Virginia
11:20 AM	Discussant: Babette Brumback, University of Florida
11:40 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

152 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Mentoring for Individual and Public Impact: Considerations for Mentors and Mentees at All Career Stages — Invited Panel
ENAR, Committee on Career Development, Caucus for Women in Statistics
Organizer(s): Naomi Brownstein, Moffitt Cancer Center
Chair(s): Emily Butler, GSK
10:05 AM	Mentoring for Individual and Public Impact: Considerations for Mentors and Mentees at All Career Stages
Panelists:	Leslie McClure, Drexel University Brian Millen, Eli Lilly and Company Dionne L Price, Food and Drug Administration Summer Han, Stanford University
11:40 AM	Floor Discussion

154 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Integrating Real World Data with Clinical Trials: Opportunities and Challenges — Topic Contributed Papers
Caucus for Women in Statistics, ENAR, Biopharmaceutical Section
Organizer(s): Yimei Li, University of Pennsylvania
Chair(s): Yimei Li, University of Pennsylvania
10:05 AM	An Integrated Analysis of Randomized Clinical Trials and Real World Evidence Studies: Theory and Application Xiaofei Wang, Duke University; Shu Yang, North Carolina State University
10:25 AM	Synthesizing External Aggregated Information in the Presence of Population Heterogeneity: A Penalized Empirical Likelihood Approach Mi-Ok Kim, UCSF
10:45 AM	Multiple Imputation Strategies for Handling Missing Data When Transporting Randomized Clinical Trial Findings Using Propensity Score-Based Methodologies Albee Ling, Stanford University; Maria Montez-Rath, Stanford University; Kris Kapphahn, Stanford University; Maya Mathur, Stanford University; Manisha Desai, Stanford University
11:05 AM	Evaluating the Use of Real-World Data as a Source for Full or Hybrid Control Arms for Clinical Trials Douglas Faries, Lilly Research Laboratories; Zhanglin Cui, Eli Lilly and Company
11:25 AM	COMET: An Active Surveillance Trial in Low Risk DCIS, Challenges and Integration with National Cancer Database Terry Hyslop, Biostat and Bioinformatics
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

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

251 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Advances in Microbiome Research from Theory to Application — Invited Papers
Section on Statistics in Genomics and Genetics, Canadian Statistical Sciences Institute, ENAR
Organizer(s): Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health
Chair(s): Xiang Zhan, Pennsylvania State University
1:05 PM	Optimal Estimation of Wasserstein Distance on a Tree with an Application to Microbiome Studies Shulei Wang, University of Pennsylvania; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
1:25 PM	A Powerful Microbial Group Association Test Based on the Higher Criticism Analysis Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health; Hyunwook Koh, Johns Hopkins University
1:45 PM	Power of Microbiome Beta-Diversity Analyses Based on Standard Reference Samples Mitchell H. Gail, National Cancer Institute; Yunhu Wan, Leidos Corporation
2:05 PM	Models for Microbiome Epidemiology Presentation Curtis Huttenhower, Harvard University
2:25 PM	Discussant: Hongzhe Li, University of Pennsylvania
2:45 PM	Floor Discussion

262 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
The FDA Complex Innovative Trial Design Pilot Program: Learning from Case Examples and Simulations for the Public Good — Topic Contributed Papers
Biopharmaceutical Section, ENAR, Section on Bayesian Statistical Science
Organizer(s): Dionne L Price, Food and Drug Administration
Chair(s): Dionne L Price, Food and Drug Administration
1:05 PM	An Overview of Innovative Designs and Statistical Considerations: Lessons Learned Laura Lee Johnson, FDA
1:25 PM	A Bayesian Adaptive Trial in Duchenne Muscular Dystrophy Stephen Lake, WAVE Life Sciences; Melanie Quintana, Berry Consultants; Scott Berry, Berry Consultants; Jennifer Panagoulias, Wave Life Sciences; Michael A. Panzara, Wave Life Sciences
1:45 PM	The Design, Challenges, and Benefits of Evaluating Multiple Assets and Disease Types in a Master Protocol JonDavid Sparks, Eli Lilly and Company; Saptarshi Chatterjee, Eli Lilly and Co; Karen L Price, Eli Lilly and Company
2:05 PM	Floor Discussion

263 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Addressing Incomplete Data in Public Health Studies: New Frontiers for Network-Based Studies and Meta-Analyses — Topic Contributed Papers
ENAR, American Public Health Association, National Institute on Drug Abuse-NIH
Organizer(s): Ashley Buchanan, University of Rhode Island
Chair(s): Natallia Katenka, University of Rhode Island
1:05 PM	Bayesian Modeling and Inference for Item Response Model with Nonignorable Missing Data Jing Wu, University of Rhode Island; Ming-Hui Chen, UNIVERSITY OF CONNECTICUT; Zhihua Ma, Shenzhen University; Lijiang Geng, University of Connecticut
1:25 PM	Accounting for Small-Study Effects Using a Bivariate Trim and Fill Meta-Analysis Procedure Chongliang Luo, University of Pennsylvania; Yong Chen, University of Pennsylvania
1:45 PM	Evaluating the Impact of Missing Data When Assessing Disseminated Effects in Network-Based Studies Ashley Buchanan, University of Rhode Island; Natallia Katenka, University of Rhode Island; Benjamin Skov, University of Rhode Island; TingFang Lee, University of Rhode Island; M. Elizabeth Halloran, Fred Hutchinson Cancer Research Center; Samuel Friedman, New York University; Georgios Nikolopoulos, University of Cyprus
2:05 PM	Estimation in the Semiparametric Accelerated Failure Time Model with Missing Covariates: Improving Efficiency Through Augmentation Jon Steingrimsson, Brown University; Robert L Strawderman, University of Rochester
2:25 PM	Truncation by Death and the Survival-Adjusted Median: From Missing Data to Useful Summary Measures Presentation Judith Lok, Boston University Department of Mathematics & Statistics; Qingyan Xiang, Boston University
2:45 PM	Floor Discussion

273 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Show Me the Data: Making Statistics and Data Science More Diverse and Inclusive in 2020 — Topic Contributed Papers
Committee on Women in Statistics, ENAR, Caucus for Women in Statistics
Organizer(s): Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
Chair(s): Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
1:05 PM	Cocreating and Recreating an Inclusive Statistical and Data Sciences Program at Smith College Presentation Randi Garcia, Smith College; Fatima Keita, Smith College
1:25 PM	Promoting the Next Wave of R/Bioconductor Developers in Latin America Starting in Mexico Presentation Leonardo Collado-Torres, Lieber Institute for Brain Development
1:45 PM	R-Ladies Baltimore: Successes and Challenges in the First Two Years Margaret Taub, Johns Hopkins
2:05 PM	Discussant: Casey Greene, University of Pennsylvania
2:25 PM	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

286	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Learning Networks from Point Processes: Neuronal Connectivity Networks and Beyond — Invited Papers
Section on Statistical Learning and Data Science, IMS, ENAR
Organizer(s): Ali Shojaie, University of Washington
Chair(s): Ali Shojaie, University of Washington
10:05 AM	Context-Dependent Self-Exciting Point Processes: Models, Methods, and Risk Bounds in High Dimensions Garvesh Raskutti, UW-Madison; Lili Zheng, University of Wisconsin-Madison; Rebecca Willett, University of Chicago
10:30 AM	A Universal Nonparametric Event Detection Framework for Neuropixels Data Shizhe Chen, University of California, Davis; Hao Chen, University of California, Davis; Xinyi Deng, Columbia University
10:55 AM	Latent Network Structure Learning from High-Dimensional Multivariate Point Processes Biao Cai, University of Miami; Emma Jingfei Zhang, University of Miami; Yongtao Guan, University of Miami
11:20 AM	Theory and Modeling for the Truncated Hawkes Process Victor Solo, UNSW, Sydney
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

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

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

367	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
1:	Doubly Robust Estimator for the Restricted Mean Time Lost Based on Pseudo-Values for Competing Risks Data Ludovic Trinquart, Boston University School of Public Health
2:	R Package Afttest for Checking Semiparametric Accelerated Failure Time Models with an Induced Smoothing Approach Woo Jung Bae, University of Florida; D Choi, Duke University; S Kang, Yonsei University
3:	Checking Methods for Accelerated Failure Time Models D Choi, Duke University; Woo Jung Bae, University of Florida; S Kang, Yonsei University
4:	Machine Learning Approaches for Identifying Social-Environmental Variables Predictive of Health Outcomes Elizabeth Handorf, Fox Chase Cancer Center; Michael Slifker, Fox Chase Cancer Center; Yinuo Yin, Fox Chase Cancer Center; Shannon Lynch, Fox Chase Cancer Center
5:	Model-Based Standardization to Adjust for Confounding with Clustered Data Zhongkai Wang, University of Florida; Babette Brumback, University of Florida; Almut Winterstein, University of Florida; Adel Alrwisan, University of Florida
7:	Distributed Quadratic Inference Functions Emily C Hector, Graduate Student, University of Michigan; Peter X.K. Song, University of Michigan

382 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Biomedical Data Analysis in Genetics and Genomics — Invited Papers
ENAR, International Chinese Statistical Association
Organizer(s): Ruzong Fan, Georgetown University Medical Center (GUMC)
Chair(s): Chi-yang Chiu, University of Tennessee, Health Science Center
1:05 PM	Mixed Models for Gene-Based Association Analysis of Complex Traits Ruzong Fan, Georgetown University Medical Center (GUMC); Yingda Jiang, University of Pittsburgh; Daniel E. Weeks, Graduate School of Public Health, University of Pittsburgh; Chi-yang Chiu, University of Tennessee, Health Science Center; Ana I. Vazquez, Michigan State University; Ao Yuan, Georgetown University Medical Center; Alexander F. Wilson, NIH; Joan E. Bailey-Wilson, NIH; Momaio Xiong, University of Texas - Houston; Richard J. Cook, University of Waterloo; Lajmi Lakhal Chaieb, University of Laval; Christopher I. Amos, Baylor College of Medicine; Qi Yan, University of Pittsburgh; Wei Chen, University of Pittsburgh; Michael B. Gorin, UCLA; Yvette Conley, University of Pittsburgh
1:30 PM	Exploiting Family History to Elucidate the Genetic Architecture of Complex Diseases Yanbing Wang, Boston University School of Public Health; Han Chen, The University of Texas Health Science Center at Houston; Gina Peloso, Boston University; Anita L DeStefano, Boston University School of Public Health; Josee Dupuis, Boston University School of Public Health
1:55 PM	A Powerful Fine-Mapping Method for Transcriptome-Wide Association Studies Chong Wu, Florida State University; Wei Pan, University of Minnesota
2:20 PM	Variant-Set Retrospective Association Tests for Longitudinal Phenotypes Weimiao Wu, Yale University; Zuoheng Wang, Yale University
2:45 PM	Floor Discussion

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

393 *	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Genetic Data Analysis, What Could Possibly Go Wrong? — Invited Papers
Section on Statistics in Genomics and Genetics, Section on Statistical Consulting, ENAR
Organizer(s): Kwang-Youn A Kim, Northwestern University
Chair(s): Donghyung Lee, Miami University
1:05 PM	To Ignore or Not to Ignore: Dealing with Missing Gene Expression Data Kwang-Youn A Kim, Northwestern University
1:25 PM	Too Good to Be True: Statistical Follies in Genome Wide Association Studies Sharon Lutz, Harvard Medical School; Joanne Sordillo, Harvard Medical School; Ann Wu, Harvard Medical School
1:45 PM	Biological Truth or Experimental Artifact? Developing Biomarkers That Generalize Across Genomic Assay Technologies Rosemary Braun, Northwestern University
2:05 PM	Putting the Science in Genomic Data Science Sihai Dave Zhao, University of Illinois at Urbana-Champaign
2:25 PM	Statistics for Poop Data: Keeping Your Microbiome Analyses Out of the Toilet Michael C Wu, Fred Hutchinson Cancer Research Center
2:45 PM	Floor Discussion

396 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Drug Approval and Labeling Based on Bayesian Approach — Invited Panel
Biopharmaceutical Section, Section on Bayesian Statistical Science, ENAR
Organizer(s): Lei Nie , FDA
Chair(s): Frank Harrell, Vanderbilt University School of Medicine
1:05 PM	Drug Approval and Labeling Based on the Bayesian Approach
Panelists:	Deborah Ashby, the School of Public Health, Imperial College Londo Frank Bretz, Novartis Pharma AG Maria Ciarleglio, Yale School of Public Health Brian Hobbs, University of Texas at Austin Ying Yuan, The University of Texas MD Anderson Cancer Center Jeni Zhou, Amgen
2:40 PM	Floor Discussion

404	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Novel Methods for High-Dimensional and Large-Scale Survival Data — Topic Contributed Papers
WNAR, Lifetime Data Science Section, ENAR
Organizer(s): Ludovic Trinquart, Boston University School of Public Health
Chair(s): Lexin Li, University of California, Berkeley
1:05 PM	Inference for High-Dimensional Censored Quantile Regression Zhe Fei; Qi Zheng, University of Louisville; Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan
1:25 PM	A New Joint Screening Method for Right-Censored Time-to-Event Data with Ultra-High-Dimensional Covariates Gang Li, University of California, Los Angeles
1:45 PM	Double-Slicing Assisted Sufficient Dimension Reduction for High-Dimensional Censored Data Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
2:05 PM	ANALYZING LARGE SCALE RECURRENT EVENT DATA with a DIVIDE-AND-CONQUER APPROACH Jerry Cheng, New York Institute of Technology
2:25 PM	Lights: A Generalized Joint Model for High-Dimensional Multivariate Longitudinal Data and Censored Durations Simon Bussy, INSERM
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

440 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Let’s Make Everyone and Everything Count! Benefit-Risk Assessment Challenges, Lessons and Impacts in the Age of Big Data from Clinical Trials to Real-World Evidence — Topic Contributed Papers
Biopharmaceutical Section, ENAR, Royal Statistical Society
Organizer(s): Shahrul Mt-Isa, Merck
Chair(s): Shahrul Mt-Isa, Merck
10:05 AM	Individualized Treatment Choices and Benefit-Risk Prediction in Cardiovascular Clinical Trials John Gregson; Ruth Owen, LSHTM; Stuart Pocock, LSHTM; Shahrul Mt-Isa, Merck; Richard Baumgartner, Merck
10:25 AM	Do Birds of a Feather Flock Together? a Question of Credible Subgroup Identification and Inference on Benefitting Populations in Clinical Trials Duy Ngo, Western Michigan University; Patrick Schnell, The Ohio State University College of Public Health; Richard Baumgartner, Merck; Shahrul Mt-Isa, Merck; Jie Chen, Merck & Co., Inc.; Dai Feng, AbbVie
10:45 AM	Bayesian Bivariate Subgroup Analysis for Risk–benefit Evaluation Nicholas C. Henderson, University of Michigan-Ann Arbor
11:05 AM	Opportunities and Challenges of Real-World Data (RWD) in Benefit-Risk Assessment (BRA) Emilie Scherrer, Merck & Co Inc
11:25 AM	Everyone Counts - Regulating the Evidence from Clinical Trial Data to Real-World Evidence for the Public Good: The Past, Present, and Future Lisa LaVange, UNC-CH
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

463 *	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Topics in Biostatistics — Contributed Papers
Section on Medical Devices and Diagnostics, Royal Statistical Society, ENAR
Chair(s): Tyson Rogers, NAMSA
	Does Concomitant Medication Tapering Impact Interim Analysis Projection Grace Liu, Johnson & Johnson; Karen Xia, Johnson & Johnson
	The Landscape of Cancer Communication in India Jaya Satagopan, Rutgers University School of Public Health
	A Scanning-Based Inverse Propensity Weighting for Nonrandom Missing Data with Continuous Instrumental Variables David Todem, Michigan State University; Arkaprabha Ganguli , Department of Statistics and Probability, MSU
	Applications of Design of Experiments to Develop a Robust Assay for Replacing the Rabbit Blood Sugar Bioidentity Test of Insulin Glargine Monisha Dey, Merck & Co., Inc; Junming Yie, Merck & Co., Inc

506	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
New Ideas in Inference — Contributed Papers
ENAR
Chair(s): Amy Tang, Henry Ford Health System
	Whither Wald? an Alternative to the Delta-Wald Test Joe Hirschberg, University of Melbourne; Jenny Lye, University of Melbourne
	Two parameter estimators: Biased and almost unbiased estimation for nonorthogonal problems Muhammad Qasim, Jönköping International Business School, Jönköping University, Sweden; Kristofer Månsson, Jönköping International Business School, Jönköping University, Sweden; B M Golam Kibria, Florida International University FIU, Miami, USA; Pär Henrik Sjölander, Jönköping International Business School, Jönköping University, Sweden
	Some Generalizations of Bivariate Discrete Distributions and Their Applications Ram C. Tripathi, Univ of Texas At San Antonio; Timothy C. Opheim, Univ of Texas At San Antonio
	Arithmetically and/or Geometrically Progressed Discrete Probability Distributions, Stochastic Processes and the Generalized Linear Models Silvey Shamsi, Ball State University; Mian Adnan, Bowling Green State University; Asif Shams Adnan, Dhaka, Bangladesh
	Multivariate Regression Model for Doubly Inflated Counts That Employs Gaussian Copula Monika Arora, Indraprastha Institute of Information Technology, Delhi; N. Rao Chaganty, Old Dominion University

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

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

529	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Clustering and Community Detection — Invited Papers
WNAR, IMS, ENAR
Organizer(s): Xin Tong, University of Southern California
Chair(s): Rachel Wang, University of Sydney
1:05 PM	Community Detection with Partial Information Xin Tong, University of Southern California
1:30 PM	Community Estimation in Multilayer Stochastic Block Models Jing Lei, Carnegie Mellon University
1:55 PM	Generalized R Square Measures for Capturing Mixtures of Linear Dependences Presentation Jingyi Jessica Li, University of California, Los Angeles
2:20 PM	A Flexible Latent Space Model for Multilayer Networks Ji Zhu, University of Michigan
2:45 PM	Floor Discussion

549 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
E Pluribus Unum: Achieving Your Potential in Statistics Through Different Organizations. — Topic Contributed Panel
Royal Statistical Society, Committee on Membership Retention and Recruitment, ENAR, Council of Emerging and New Statisticians (CENS)
Organizer(s): Will Eagan, Purdue University
Chair(s): Glenn D. White, Jr., ASA Committee on Membership Retention and Recruitment
1:05 PM	E Pluribus Unum: Achieving Your Potential in Statistics Through Different Organizations Presentation
Panelists:	Will Eagan, Purdue University Jeri Mulrow, Westat Renee Helene Moore, Emory University Shelley Han Liu, Icahn School of Medicine at Mount Sinai Abie Ekangaki, Premier Research
2:40 PM	Floor Discussion

554 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Recent Challenges and Developments in Bayesian Big Data Inference and Computation with Public Database — Invited Papers
ENAR, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Dipak K Dey, University of Connecticut
Chair(s): Dipak K Dey, University of Connecticut
3:05 PM	Bayesian Inference and Monte Carlo Methods for Streaming Data Gyuhyeong Goh, Kansas State University ; Dipak K Dey, University of Connecticut
3:30 PM	Horseshoe Regularization for Machine Learning in Complex and Deep Models Anindya Bhadra, Purdue University; Jyotishka Datta, University of Arkansas; Yunfan Li, Purdue University; Nicholas Polson, University of Chicago
3:55 PM	Projection-Based Approach to Alleviate Spatial Confounding in Spatial Frailty Models Marcos Oliveira Prates, Universidade Federal de Minas Gerais; Douglas Azevedo, Universidade Federal de Minas Gerais; Dipankar Bandyopadhyay, Virginia Commonwealth University
4:20 PM	Discussant: Sudipto Banerjee, UCLA School of Public Health
4:45 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

570 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Addressing the Unique Analytic Challenges of Drug Development in Rare Diseases with the Use of Innovative Designs and Real World Evidence in Clinical Trials — Topic Contributed Papers
ENAR, Health Policy Statistics Section, International Chinese Statistical Association
Organizer(s): Junjing Lin , AbbVie
Chair(s): Margaret Gamalo-Siebers, Eli Lilly & Co
3:05 PM	Case Studies of Clinical Trials in Rare Diseases with Innovative Designs Utilizing Historical Data Bingzhi Zhang, Sanofi
3:25 PM	On Randomized Delayed-Start Design with Integrated Analysis of Efficacy for Drug Development in Rare Diseases Qing Liu, Quantitative and Regulatory Medical Science, LLC; Fred Holdbrook, Amicus Therapeutics, Inc.
3:45 PM	Statistical Issues in Trials for Rare Diseases Using Innovative Design and Real-World Evidence – Regulatory Experiences Aloka Chakravarty, Office of Biostatistics in CDER, FDA
4:05 PM	Clinical Data Augmentation Strategy via Propensity-Score-Based Bayesian Analysis Junjing Lin, Takeda; Margaret Gamalo-Siebers, Eli Lilly & Co; Ram Tiwari, FDA
4:25 PM	Use of historical controls to assess emerging interventions in cystic fibrosis: a comparison of methods and a look forward Presentation Amalia Magaret, University of Washington
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

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

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

JSM 2020 Online Program

Activity Details

American Statistical Association