Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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Activity Details

220755	Thu, 8/5/2021, 12:30 PM - 3:30 PM
ENAR Executive Committee Meeting — Other ICW
ENAR
Organizer(s): Laura Stapleton, Virtual, Inc.

2 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
When Causal Inference Meets Reinforcement Learning: The Story of Mobile-Delivered Interventions — Invited Papers
IMS, ENAR, Biometrics Section
Organizer(s): Min Qian, Columbia University
Chair(s): Chengchun Shi, LSE
1:35 PM	Assessing Time-Varying Causal Effects in the Presence of Cluster-Level Treatment Effect Heterogeneity Jieru Hera Shi, University of Michigan, Ann Arbor; Zhenke Wu, University of Michigan, Ann Arbor; Walter Dempsey, University of Michigan
2:00 PM	Policy Evaluation Under Interference Stefan Wager, Stanford University
2:25 PM	We Used RL, but … Did It Work?! Peng Liao, Harvard University; Susan Murphy, Harvard University; Predrag Klasnja, University of Michigan
2:50 PM	Discussant: Michael Kosorok, University of North Carolina at Chapel Hill
3:10 PM	Floor Discussion

4 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Theoretical and Empirical Contributions to Data Analytic Practice — Invited Papers
ENAR, Ad Hoc Statistical Leadership Training Committee, Business Analytics/Statistics Education Interest Group, Caucus for Women in Statistics
Organizer(s): Roger Peng, Johns Hopkins University
Chair(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
1:35 PM	Evaluating the Alignment of a Data Analysis Between Analyst and Audience Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health; Roger Peng, Johns Hopkins University
2:00 PM	How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia Sean Kross, The University of California San Diego
2:25 PM	Examining the Impact of Software Instruction on Completion of Data Analysis Tasks Lucy D'Agostino McGowan, Wake Forest University
2:50 PM	Discussant: Roger Peng, Johns Hopkins University
3:10 PM	Floor Discussion

5 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Novel Methods for Microbiome Data Analysis — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Shulei Wang, University of Illinois at Urbana-Champaign
Chair(s): Shulei Wang, University of Illinois at Urbana-Champaign
1:35 PM	Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes Hongzhe Li, University of Pennsylvania
2:00 PM	Kernel Methods for Identifying of Genetic Variants Associated with Microbiome Composition Michael C Wu, Fred Hutchinson Cancer Research Center
2:25 PM	Model-Based Approaches to Dimension Reduction, Unconstrained Ordination, and Composition Estimation for Microbiome Data Tao Wang, Shanghai Jiao Tong University
2:50 PM	Correcting Measurement Error in High-Throughput Sequencing Data David Clausen, University of Washington
3:15 PM	Floor Discussion

13 *	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Advances in Longitudinal Methods in Research on Aging and Dementia from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Michelle Shardell, University of Maryland School of Medicine
Chair(s): Michelle Shardell, University of Maryland School of Medicine
1:35 PM	Prediction of Dementia Types Using Machine Learning Methods Chung-Chou H. Chang, University of Pittsburgh; Yueting Wang, University of Pittsburgh; Yichen Jia, University of Pittsburgh; Mary Ganguli, University of Pittsburgh
1:55 PM	Causal Mediation Analysis of the Timing of Risk Factors for Incident Cognitive Impairment Nicole Armstrong, Alpert Medical School of Brown University
2:15 PM	Joint Modeling of the Temporal Relationships Between Multivariate Longitudinal Markers of Alzheimer’s Disease Progression and Clinical Endpoints Anaïs Rouanet, Inserm U1219 - Bordeaux Population Health research center; Cécile Proust-Lima, University of Bordeaux
2:35 PM	Estimating Heterogenous Effects of Education on Dementia Using Bayesian Trees Jordan Weiss, University of California, Berkeley; Sameer Deshpande, Massachusetts Institute of Technology - CSAIL
2:55 PM	Using Hidden Markov Models to Track Cognitive Decline Presentation Terry Michael Therneau, Mayo Clinic
3:20 PM	Discussant: Cécile Proust-Lima, University of Bordeaux
3:15 PM	Floor Discussion

15 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Emerging Statistical Challenges and Opportunities in Mental Health Research — Invited Panel
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Adam Ciarleglio, George Washington University
1:35 PM	Emerging Statistical Challenges and Opportunities in Mental Health Research
Panelists:	Melanie Wall, Columbia University Eva Petkova, New York University School of Medicine Garrett Fitzmaurice, Harvard University Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:15 PM	Floor Discussion

33	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Sensitivity Analysis with Nonignorable Missing Data: Recent Work from Academia, Industry, and Regulatory Agencies — Invited Papers
ENAR, IMS, Society for Clinical Trials
Organizer(s): Shu Yang, North Carolina State University
Chair(s): Shu Yang, North Carolina State University
3:35 PM	Sensitivity Analysis Applications in Some Regulatory Experience Eiji Ishida, FDA
4:00 PM	Control-Based Imputation in Longitudinal Clinical Trials for Continuous Outcomes with Outliers G. Frank Liu, Merck Sharp & Dohme Corp.; Yilong Zhang, Merck & Co., Inc.; Gregory Golm, Merck & Co., Inc.
4:25 PM	Global Sensitivity Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Application to Studies of Substance Use Disorders Daniel Scharfstein, University of Utah
4:50 PM	Discussant: Roderick Joseph Little, University of Michigan
5:10 PM	Floor Discussion

43 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Distributed Regressions in Real-World Data — Invited Papers
Section on Statistics in Epidemiology, ENAR, Section for Statistical Programmers and Analysts
Organizer(s): Yong Chen, University of Pennsylvania
Chair(s): Jiayi Tong, University of Pennsylvania
3:35 PM	Distributed Privacy-Preserving Estimation of Time-to-Event Models Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
4:00 PM	Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts Martijn Schuemie, Janssen R&D
4:25 PM	Statistical Inferences with Distributed Estimators Cheng Yong Tang, Temple University
4:50 PM	Distributed Regression: Estimation, Prediction, and Inference Yong Chen, University of Pennsylvania
5:15 PM	Floor Discussion

62 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Large Population Physical Activity Studies Using Wearable Devices: Challenges and Future Directions — Invited Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Organizer(s): Ekaterina Smirnova, Virginia Commonwealth University
Chair(s): Ekaterina Smirnova, Virginia Commonwealth University
10:05 AM	Unraveling the Relationship Between Physical Activity and Health Using Wearable Sensors Charles Matthews, National Cancer Institute Shady Grove
10:25 AM	Fast Univariate Inference for Longitudinal Functional Models Erjia Cui, Johns Hopkins Bloomberg School of Public Health; Andrew Leroux, University of Colorado Anschutz Medical Campus; Ciprian Crainiceanu, Johns Hopkins University; Ekaterina Smirnova, Virginia Commonwealth University
10:45 AM	The Digital Biomarker Discovery Project: An Open Source Toolbox Biosignal Analysis Jessilyn Dunn, Duke University; Brinnae P Bent, Duke University; Emilia Grzesiak, Duke University; Chentian Jiang, Duke University; Yuankai P Qi, Duke University; Yihang P Jiang, Duke University; Peter P Cho, Duke University
11:05 AM	Genome-Wide Association Studies of 27 Accelerometry-Derived Physical Activity Measurements Identifies 6 Novel Loci and Links with Blood and Immune Mechanisms Guanghao Qi, Johns Hopkins University; Diptavo Dutta, Johns Hopkins University; Andrew Leroux, University of Colorado Anschutz Medical Campus; Debashree Ray, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
11:25 AM	New Methodology for Characterizing Circadian Rhythm in Actigraphy Data Collected from a Wearable Device Sungduk Kim, National Cancer Institute; Paul S. Albert, National Cancer Institute
11:45 AM	Floor Discussion

68 !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances of Causal Inferences in Human Genetics — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Jingshen Wang, UC Berkeley; Chong Wu, Florida State University
Chair(s): Chong Wu, Florida State University
10:05 AM	Inferring Causal Direction Between Two Traits in the Presence of Invalid Instrumental Variables Haoran Xue, University of Minnesota; Wei Pan, University of Minnesota
10:30 AM	Testing for the Direction of Mediation in Genomics Studies James Dai, Fred Hutchinson Cancer Research Center; Heng Chen, Fred Hutchinson Cancer Research Center
10:55 AM	Debiased Inference in Mendelian Randomization After Selecting Among High-Dimensional Genetic Instruments Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
11:20 AM	KnockoffScreen: A Powerful Method for the Identification of Putative Causal Loci in Whole-Genome Sequencing Data via Knockoff Statistics Iuliana Ionita-Laza, Columbia University; Zihuai He, Stanford University
11:45 AM	Floor Discussion

70 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Advances for Multi-Omics Data of Complex Diseases — Invited Papers
Section on Statistics in Genomics and Genetics, ENAR, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Jiebiao Wang, University of Pittsburgh
Chair(s): Jiebiao Wang, University of Pittsburgh
10:05 AM	SpotClean adjusts for spot swapping in spatial transcriptomics data Christina Kendziorski, UW-Madison; Zijian Ni, UW-Madison; Jared Brown, UW-Madison; Chitrasen Mohanty, UW-Madison
10:30 AM	Multi-Omics Analysis of Psychosis in Alzheimer’s Disease Ying Ding, University of Pittsburgh
10:55 AM	Integrating GWAS and multi-omics QTL summary statistics to elucidate disease genetic mechanisms via a hierarchical low-rank model Lin Chen, University of Chicago; Yihao Lu, University of Chicago
11:20 AM	Integrative Single Cell Analysis of DNA Alterations and Chromatin Accessibility in Cancer Chi-Yun Wu, University of Pennsylvania; Nancy Zhang, The University of Pennsylvania; Hanlee Ji, Stanford University
11:45 AM	Floor Discussion

82 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Evaluating Causal Effects Using Incomplete Data with Interference in Public Health Research — Topic-Contributed Papers
ENAR, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): TingFang Lee, College of Pharmacy, University of Rhode Island
Chair(s): Ashley Buchanan, College of Pharmacy, University of Rhode Island
10:05 AM	Causal Effects with Hidden Treatment Diffusion Over Partially Unobserved Networks Costanza Tortù, Ecole Polytechnique; Irene Crimaldi, IMT Lucca; Fabrizia Mealli, University of Florence; Laura Forastiere, Yale University
10:25 AM	Doubly Robust Treatment Effect Estimation with Missing Attributes Imke Mayer, Centre d'Analyse et de Mathématiques Sociales, EHESS; Erik Sverdrup, Graduate School of Business, Stanford University; Tobias Gauss, Department of Anesthesia and Intensive Care, Beaujon Hospital, AP-HP; Jean-Denis Moyer, Department of Anesthesia and Intensive Care, Beaujon Hospital, AP-HP; Stefan Wager, Stanford University; Julie Josse, INRIA Sophia-Antipolis
10:45 AM	Evaluating Disseminated Effects of Incomplete Data in Network-Based Studies for Public Health Presentation TingFang Lee, College of Pharmacy, University of Rhode Island; Ashley Buchanan, College of Pharmacy, University of Rhode Island; Natallia Katenka, Department of Computer Science and Statistics, University of Rhode Island; M. Elizabeth Halloran, Public Health Sciences Division, Fred Hutch; Samuel Friedman, Department of Population Health, NYU Grossman School of Medicine; Georgios Nikolopoulos, Medical School, University of Cyprus
11:05 AM	Leveraging Influencers in the Design of Network-Structured Studies to Estimate Direct and Spillover Effects Junhan Fang, Yale School of Public Health; Donna Spiegelman, Yale School of Public Health; Laura Forastiere, Yale University
11:25 AM	Discussant: Samrachana Adhikari, NYU School of Medicine
11:45 AM	Floor Discussion

91	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
High Dimensional Data, Causal Inference, Biostats Education, and More — Contributed Speed
ENAR
Chair(s): Wodan Ling, Fred Hutchinson Cancer Research Center
10:05 AM	Bayesian Nonparametric Models for Freely Diffusing SmFRET Data Roberto Rivera, University of Puerto Rico at Mayaguez; Jared Hidalgo, University of Puerto Rico - Mayaguez; Axel Cortes Cubero, University of Puerto Rico at Mayaguez; Roberto Reyes, University of Puerto Rico at Mayaguez
10:10 AM	Principal Component Analysis of Hybrid Functional and Vector Data Jeong Hoon Jang, Indiana University
10:15 AM	A P-Value-Free FDR Controlling Approach for High-Dimensional Variable Selection Arkaprabha Ganguli, Michigan State University; David Todem, Michigan State University
10:20 AM	Multisite Learning with High-Dimensional Data via a Distributed Algorithm for Penalized Regression (ADAP) Xiaokang Liu, University of Pennsylvania; Rui Duan, Harvard University; Chongliang Luo, University of Pennsylvania; Alexis Ogdie, University of Pennsylvania ; Jason H. Moore, University of Pennsylvania ; Henry R. Kranzler, University of Pennsylvania ; Jiang Bian, University of Florida Health Cancer Center; Yong Chen, University of Pennsylvania
10:25 AM	Prediction of Relapse in Chronic Disease Using Fragmented Medical Records Jiasheng Shi, University of Pennsylvania Perelman School of Medicine ; Jing Huang, University of Pennsylvania Perelman School of Medicine
10:30 AM	Relaxed Conditional Likelihood for Sparse Data Under a Rectangular Array Embedding Samuel Aiyedipe, Department of Biostatistics and Bioinformatics, Emory University; John Hanfelt, Emory University
10:35 AM	Three-Phase Generalized Raking and Multiple Imputation Estimators to Address Errors in Routinely Collected Data Gustavo Amorim, Vanderbilt University Medical Center; Ran Tao, Vanderbilt University Medical Center; Sarah Lotspeich, Vanderbilt University Medical Center; Pamela Shaw, Kaiser Permanente Washington Health Research Institute; Thomas Lumley, University of Auckland; Rena Patel, University of Washington; Bryan Shepherd, Department of Biostatistics, Vanderbilt University School of Medicine
10:40 AM	Tests for Heteroscedasticity Timothy Mark Beasley, UAB
10:45 AM	Lossless Distributed Linear Mixed Model with Application to Integration of Heterogeneous Health Care Data Chongliang Luo, University of Pennsylvania; Md. Nazmul Islam, UnitedHealth Group; Natalie E. Sheils, UnitedHealth Group; Rui Duan, Harvard University; Jenna Reps, Janssen Research and Development LLC; Jiayi Tong, University of Pennsylvania; Mackenzie Edmonson, University of Pennsylvania; Martijn Schuemie, Janssen R&D; John Buresh, UnitedHealth Group; Yong Chen, University of Pennsylvania
10:50 AM	A Job-Ready Assessment for Post-Graduate-Level Introductory Biostatistics Courses Darsy Darssan, The University of Queensland; Pakhi Sharma, The University of Queensland; Alexandra Robbins-Hill, The University of Queensland; Gail Williams, The University of Queensland
11:00 AM	Information-Based Mediation Analysis on High-Dimensional Metagenomic Data Lingling An, University of Arizona; Kyle Carter, University of Arizona; Meng Lu, University of Arizona; Hongmei Jiang, Northwestern University
11:05 AM	Increasing efficiency and reducing bias of vaccine effect estimates, by using non-targeted virus strains Lola Etievant, National Cancer Institute, NIH; Mitchell Gail, NCI-DCEG; Joshua Sampson, National Cancer Institute, NIH
11:10 AM	When Randomized Interventional Indirect Effects Tell Stories About Mediated Effects (and When They Don’t) Presentation Caleb Miles, Columbia University
11:15 AM	Comparison of Propensity Score Weighting Methods for Subgroup Survival Analysis Siyun Yang, Duke University; Fan Li, Duke University; Laine Thomas, Duke University, Department of Biostatistics and Bioinformatics
11:20 AM	Optimal Weighting for Estimating Generalized Average Treatment Effects Michele Santacatterina, George Washington University; Nathan Kallus, Cornell University
11:25 AM	Laplace and Saddlepoint Approximations in High Dimensions Yanbo Tang, University of Toronto; Nancy Reid, University of Toronto
11:30 AM	Randomization Tests to Address Disruptions in Clinical Trials Diane Uschner, George Washington University
11:35 AM	Mathematical Modeling of the Transmission Dynamics of COVID-19 Ruzong Fan, Georgetown University Medical Center (GUMC)
11:40 AM	Statistical Challenges of Launching a Randomized Controlled Trial of a COVID-19 Therapeutic at the Start of the Pandemic Pamela Shaw, Kaiser Permanente Washington Health Research Institute; Grace Choi, University of Pennsylvania; Haidaliza Soto-Calderon, University of Pennsylvania; Lizette Grajales, University of Pennsylvania; Katharine Bar, University of Pennsylvania
11:45 AM	Updating an Introductory Biostatistics Course to Support Diversity, Equity, Inclusion, and Transparency Priya Srikanth, Oregon Health & Science University; Amber Lin, Oregon Health & Science University

220756	Mon, 8/9/2021, 12:00 PM - 2:00 PM
ENAR 2022 Spring Meeting Planning Committee — Other Cmte/Business
ENAR
Organizer(s): Simone Gray, CDC
Monday, Aug. 9: ENAR 2022 Spring Meeting Program Committee Meeting from 12-2pm EDT Organizer: Simone Gray, CDC Virtual link has been sent to all invitees. If you did not receive the link, please reach out to Laura Stapleton at lstapleton@virtualinc.com.

119 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
SciComm and Stats: Communicating Statistics to the Public in the New Decade — Invited Panel
ENAR, Committee on Membership Retention and Recruitment, Council of Emerging and New Statisticians (CENS), Caucus for Women in Statistics
Organizer(s): Jeong Hoon Jang, Indiana University; Sarah Samorodnitsky, University of Minnesota
Chair(s): Nicole Butera, George Washington University
1:35 PM	SciComm and Stats: Communicating Statistics to the Public in the New Decade
Panelists:	John Bailer, Miami University Irineo Cabreros, RAND Natalie Dean, University of Florida Regina Nuzzo, American Statistical Association Brian Tarran, Significance Magazine Nick Thieme, Atlanta Journal-Constitution
3:15 PM	Floor Discussion

121 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
In the Pipeline: Statistical Advances to Preserve Biological Signal in High-Throughput, Single-Cell Imaging and Sequencing Methods — Topic-Contributed Papers
Section on Statistics in Imaging, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Coleman R Harris, Vanderbilt University Medical Center
Chair(s): Simon N Vandekar, Vanderbilt University
1:35 PM	ComBat-Seq: Batch Effect Adjustment for RNA-Seq Count Data W. Evan Johnson, Boston University School of Medicine; Yuqing Zhang, Gilead Sciences, Inc.; Giovanni Parmigiani, Harvard University
1:55 PM	Comparison of Normalization Methods to Combine Batches of High-Dimensional Multiplexed Images Presentation Coleman R Harris, Vanderbilt University Medical Center; Qi Liu, Vanderbilt University Medical Center; Eliot McKinley, Vanderbilt University Medical Center; Joseph Roland, Vanderbilt University Medical Center; Ken Lau, Vanderbilt University Medical Center; Robert Coffey, Vanderbilt University Medical Center; Simon N Vandekar, Vanderbilt University
2:15 PM	Design and Analysis of High-Throughput Cell Imaging Studies Johann Gagnon-Bartsch, University of Michigan; Gregory Hunt, College of William & Mary
2:35 PM	Robust Re-Scaling of Imaging Data to Improve Discovery of Latent Effects Gregory Hunt, College of William & Mary; Johann Gagnon-Bartsch, University of Michigan
2:55 PM	Back to the Future: Viewing Single-Cell Assays Through the Lens of Chromatin Structure Timothy J. Triche, Van Andel Institute; Benjamin K Johnson, Van Andel Institute; Hui J Shen, Van Andel Institute
3:15 PM	Floor Discussion

128 *	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
New Methods and Diagnostics for Propensity Score Matching — Topic-Contributed Papers
Health Policy Statistics Section, Biometrics Section, ENAR
Organizer(s): Ben B. Hansen, University of Michigan
Chair(s): Ben B. Hansen, University of Michigan
1:35 PM	Evaluating and Improving a Matched Comparison of Antidepressants and Bone Density Ruoqi Yu, University of Pennsylvania
1:55 PM	Accounting for Inexact Matching via Model-Weighted Randomization Inference and Partially Randomized Design Samuel D. Pimentel, University of California, Berkeley
2:15 PM	Fast Algorithms for Propensity Score Matching Presentation Pavel Ruzankin, Novosibirsk State University; Anton S. Tarasenko, Novosibirsk State University
2:35 PM	Full Matching with More Precise Set Size Constraints Presentation Mark Fredrickson, University of Michigan, Ann Arbor; Ben B. Hansen, University of Michigan
2:55 PM	Discussant: Thomas E. Love, Case Western Reserve University School of Medicine
3:15 PM	Floor Discussion

139 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances of Semi-Supervised Learning: Techniques and Applications — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, ENAR
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Jiwei Zhao, University of Wisconsin-Madison
10:05 AM	Optimal Semi-Supervised Estimation and Inference for High-Dimensional Linear Regression Yang Ning, Cornell University ; Jiwei Zhao, University of Wisconsin-Madison; Heping Zhang, Yale University
10:25 AM	Inference for Maximin Effects: A Sampling Approach to Aggregating Heterogenous High-Dimensional Regression Models Zijian Guo, Rutgers University
10:45 AM	Semi-Supervised Off Policy Reinforcement Learning Aaron Sonabend, Harvard University; Tianxi Cai, Harvard T.H. Chan School of Public Health
11:05 AM	Doubly Robust Semi-Supervised Inference for Means Under MAR-Type Labeling Mechanisms with Selection Bias and Decaying Propensity Scores Abhishek Chakrabortty, Texas A&M University
11:25 AM	Semi-Supervised Learning with Network Information Linda Zhao, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Haipeng Shen, University of Hong Kong; Dan Yang, University of Hong Kong; Wu Zhu, University of Pennsylvania
11:45 AM	Floor Discussion

143 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
New Machine Learning Tools for Mobile Health Data and Individual Intervention — Invited Papers
Lifetime Data Science Section, Section on Statistical Learning and Data Science, IMS, ENAR
Organizer(s): Annie Qu, Unviersity of California Irvine
Chair(s): Bin Nan, University of California Irvine
10:05 AM	Inference of Causal Relations with Interventions Chunlin Li, University of Minnesota; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
10:30 AM	Tracking Weight Loss Before and During Pregnancy Heping Zhang, Yale University
10:55 AM	Efficient Learning of Optimal Individualized Treatment Rules Weibin Mo, University of North Carolina; Yufeng Liu, University of North Carolina at Chapel Hill
11:20 AM	Supervised Learning of Health-Related Secret Codes from Wearable Devices Data Peter X.K. Song, University of Michigan
11:45 AM	Floor Discussion

144 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Biases, Batch Effects, and Novel Statistical Methodologies: Handling Them in Large-Scale Microbiome Sequencing Studies — Invited Papers
ENAR, Biometrics Section, Canadian Statistical Sciences Institute
Organizer(s): Ni Zhao, Johns Hopkins University
Chair(s): Anna Plantinga, Williams College
10:05 AM	ConQuR: Batch Effect Correction for Microbiome Data via Conditional Quantile Regression Wodan Ling, Fred Hutchinson Cancer Research Center; Michael C Wu, Fred Hutchinson Cancer Research Center
10:25 AM	Bias-Robust Analysis of Microbiome Data Glen Satten, Emory University
10:45 AM	Differential Abundance Analysis of Microbiomes with Bias Correction Shyamal Peddada, The Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:05 AM	BugSigDB: A Database of Published Microbial Signatures Levi Waldron, CUNY Graduate school Public Health and Health Policy
11:25 AM	Integrative Analysis of Multiple Microbiome Data Sets: Robust Models Against Biases and Batches Ni Zhao, Johns Hopkins University; Mengyu He, JOHNS HOPKINS UNIVERSITY; Runzhe Li, Johns Hopkins Bloomberg School of Public Health
11:45 AM	Floor Discussion

149 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Methods for Microbiome Data — Invited Papers
International Indian Statistical Association, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Subharup Guha, University of Florida
Chair(s): Subharup Guha, University of Florida
10:05 AM	Bioinformatics Pre-Processing of Microbiome Data with an Application to Metagenomic Forensics SOMNATH DATTA, University of Florida; Samuel Anyaso-Samuel, University of Florida; Archie Sachdeva, University of Florida; Subharup Guha, University of Florida
10:30 AM	Feature Selection for Microbiome Studies in the Presence of Confounding Using Standardization Emily Goren, Iowa State University; Chong Wang, Iowa State University; Peng Liu, Iowa State University
10:55 AM	Dirichlet-Multinomial Regression Models with Bayesian Variable Selection for Microbiome Data Marina Vannucci, Rice
11:20 AM	Generalized Matrix Decomposition for Exploration, Estimation, and Inference in Two-Way Structured Data Timothy Randolph, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington; Yue Wang, Arizona State University ; Jing Ma, Fred Hutchinson Cancer Research Center
11:45 AM	Floor Discussion

157 *	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Advances in Analytic Methods and Novel Applications of the Use of Synthetic Control for Causal Estimation of Effects of Therapeutic Interventions — Topic-Contributed Papers
Biometrics Section, ENAR, Section on Medical Devices and Diagnostics
Organizer(s): Margaret Gamalo, Pfizer
Chair(s): Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
10:05 AM	Synthetic Control Trial Design with Enhanced Double Robust Estimate of Rx Effect Ming Tan, Georgetown University
10:25 AM	Evaluation of Diagnostic Tests for Low Prevalence Diseases with Leveraging Real-World Data Wei-Chen Chen, FDA/CDRH; Heng Li, FDA/CDRH; Nelson Lu, FDA/CDRH; Changhong Song, FDA/CDRH; Chenguang Wang, JHU; Ram Tiwari, FDA/CDRH; Yunling Xu, CDRH/FDA; Lilly Q. Yue, FDA/CDRH
10:45 AM	Innovative Adaptive Design for Confirmatory Trials: A Case Study in Pediatrics Junjing Lin, Takeda Pharmaceuticals; Margaret Gamalo-Siebers, Pfizer Inc.; Ran Liao, Eli Lilly
11:05 AM	Some Practical Issues of Augmenting Concurrent Control Data with Synthetic Control Binbing Yu, AstraZeneca, LLC
11:25 AM	Design and Analysis of Externally Controlled Trials: Regulatory Review Experience in Hematology and Oncology Drug Applications Presentation Haiyan Chen, FDA
11:45 AM	Floor Discussion

158 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Methods for High-Dimensional Data in Health Care and Medical Research — Topic-Contributed Papers
Section on Statistics in Epidemiology, International Society for Bayesian Analysis (ISBA), ENAR
Organizer(s): Zehang Richard Li, University of California, Santa Cruz
Chair(s): Zehang Richard Li, University of California, Santa Cruz
10:05 AM	Quantile Probit Copula Model for Association in Paired Study Data Presentation Roberta De Vito, Brown University; Isabella Grabsky, Harvard University; Barbara Engelhardt, Princeton University
10:25 AM	Empirical Evaluation of Internal Validation Methods for Estimating Optimism Error in High-Dimensional Electronic Health Record Data with Rare Event Outcomes Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Qinqing Liao, University of Washington
10:45 AM	Validation of a Portable System for Molecular Diagnostics of SARS-CoV-2 Claudia Wehrhahn, University of California, Santa Cruz; Maricarmen Quirasco Baruch, Universidad Nacional Autónoma de México; Luis Vaca Domínguez, Universidad Nacional Autónoma de México
11:05 AM	Bayesian Sparse Regression for Healthcare Analytics on Network of Observational Databases Akihiko Nishimura, Johns Hopkins Bloomberg School of Public Health; Marc Suchard, University of California Los Angeles
11:25 AM	Empirical Likelihood Approach for Variance Component Test with Repeated Accelerometry Measures Haochang Shou, University of Pennsylvania
11:45 AM	Floor Discussion

161 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Collaboratively Improve Trial Design and Result Interpretation Through the Estimand Framework — Topic-Contributed Panel
Biopharmaceutical Section, ENAR, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Lei Nie, Office of Biostatistics (OB), OTS, CDER, FDA
Chair(s): Roderick Joseph Little, University of Michigan
10:05 AM	Collaboratively Improve Trial Design and Result Interpretation Through the Estimand Framework
Panelists:	Paul Kluetz, The US FDA Gregory Levin, The US FDA Bohdana Ratitch, Bayer Anthony Man, Novartis Sally Seymour, Food and Drug Administration
11:40 AM	Floor Discussion

220757	Tue, 8/10/2021, 12:30 PM - 3:30 PM
ENAR RAB/RECOM Meeting — Other Cmte/Business
ENAR
Organizer(s): Leslie McClure, Drexel University
Tuesday, Aug. 10: RAB/RECOM Meeting from 12:30 – 3:30pm EDT Organizer: Leslie McClure, Drexel University, Dornsife School of Public Health Virtual link has been sent to all invitees. If you did not receive the link, please reach out to Laura Stapleton at lstapleton@virtualinc.com.

183 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Genomics in Neuroscience — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Mental Health Statistics Section
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
1:35 PM	Constructing Local Cell-Specific Networks from Single-Cell Data Kathryn Roeder, CARNEGIE-MELLON UNIVERSITY; Xuran Wang, CARNEGIE-MELLON UNIVERSITY; David Choi, Carnegie Mellon University
2:00 PM	Leveraging Gene Expression in Human Brain Tissue to Better Understand Schizophrenia and Its Genetic Risk Andrew Jaffe, Johns Hopkins University
2:25 PM	Estimation of Gene-to-Trait Mediation via EQTL and GWAS Integration Michael Love, UNC-Chapel Hill; Anqi Zhu, UNC-Chapel Hill; Nana Matoba, UNC-Chapel Hill; Jason Stein, UNC-Chapel Hill; Emmaleigh Wilson, UNC-Chapel Hill; Amanda Tapia, UNC-Chapel Hill; Yun Li, UNC-Chapel Hill; Joseph G Ibrahim, UNC
2:50 PM	Deep Learning-Empowered Integrative Analysis of Single-Cell and Spatial Transcriptomics Data Mingyao Li, University of Pennsylvania; Jian Hu, University of Pennsylvania; Kyle Coleman, University of Pennsylvania; Amelia Schroeder, University of Pennsylvania
3:15 PM	Floor Discussion

187 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Surrogate Markers and the Role of Mediation Analysis in Drug Development — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Peng Wei, The University of Texas MD Anderson Cancer Center
Chair(s): Peng Wei, The University of Texas MD Anderson Cancer Center
1:35 PM	Correlating Surrogate Endpoints with Overall Survival at the Individual Patient Level for Precision Oncology Emily C Zabor, Cleveland Clinic
1:55 PM	Joint Modeling of Surrogate and Primary End Points via Causal Mediation Analyses Yen-Tsung Huang, Academia Sinica
2:15 PM	A Survival Mediation Model with Bayesian Model Averaging Jie Zhou, Cleveland Clinic Foundation; Peng Wei, The University of Texas MD Anderson Cancer Center; Brian Hobbs, The University of Texas at Austin
2:35 PM	Predicting Outcomes of Phase III Oncology Trials with Bayesian Mediation Modeling Jie Zhou, Cleveland Clinic Foundation; Xun Jiang, Amgen; Amy Xia, Amgen; Peng Wei, The University of Texas MD Anderson Cancer Center; Brian Hobbs, The University of Texas at Austin
2:55 PM	Discussant: Stijn Vansteelandt, Ghent University
3:15 PM	Floor Discussion

190 !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Synergy of Bayesian, Frequentist, and Fiducial Approaches in Addressing Modern Statistical Problems in Data Science — Invited Papers
Section on Bayesian Statistical Science, General Methodology, ENAR
Organizer(s): Radu V Craiu, University of Toronto
Chair(s): Hary Iyer, National Institute of Standards and Technology
1:35 PM	Uncertainty Quantification for Object Boundaries Extracted from Spatial Point Patterns Thomas C. M. Lee, University of California at Davis
2:00 PM	Robust and individualized conformal predictive inference in survival analysis Minge Xie, Rutgers University
2:25 PM	Uncertainty in Estimation of ROC Curves with Applications to Forensic Science Presentation Jan Hannig, University of North Carolina at Chapel Hill; Hary Iyer, National Institute of Standards and Technology
2:50 PM	Discussant: Xiao-Li Meng, Harvard University
3:10 PM	Floor Discussion

191 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Research in Rapid Response to COVID-19 Pandemic: Forecasts, Risk Factors, Therapeutics, and Vaccine Trials — Invited Papers
Health Policy Statistics Section, ENAR, Biometrics Section
Organizer(s): Yuanjia Wang, Columbia University
Chair(s): Shanghong Xie , Columbia Unviersity
1:35 PM	COVID-19 Forecasts and Scenarios for the United States Bobby Reiner, University of Washington
1:55 PM	A Hierarchical Epidemic Model to Estimate the Time-Varying Reproduction Numbers and Prevalence of COVID-19 Infections Accounting for Under-Reporting and Delayed Reporting of Cases Rounak Dey, Harvard T.H. Chan School of Public Health; Haoyu Zhang, Harvard T.H. Chan School of Public Health; Corbin Quick, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard T.H. Chan School of Public Health
2:15 PM	Dynamic Risk Assessment of COVID-19 Hospitalization from Electronic Health Records (EHRs) Yuanjia Wang, Columbia University
2:35 PM	Statistical Aspects of COVID-19 Vaccine Trials Dean Follmann, NIH
2:55 PM	Discussant: Donglin Zeng, UNC Chapel Hill
3:15 PM	Floor Discussion

207 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Distinctive Statistical Considerations in Nursing Education and Research — Topic-Contributed Panel
ENAR, Section on Teaching of Statistics in the Health Sciences, Biometrics Section
Organizer(s): Matthew J Hayat, Georgia State University
Chair(s): Todd Schwartz, University of North Carolina at Chapel Hill
1:35 PM	Distinctive Statistical Considerations in Nursing Education and Research
Panelists:	Matthew J Hayat, Georgia State University Melinda Higgins, Emory University Myoungjin Kim, Illinois State University Wei Pan, Duke University Yelena Perkhounkova, The University of Iowa
3:15 PM	Floor Discussion

224 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
New Insights from Analyzing Functional Data in Biomedical Research — Invited Papers
ENAR, Biometrics Section, International Chinese Statistical Association
Organizer(s): Wei Yang, University of Pennsylvania
Chair(s): Wensheng Guo, University of Pennsylvania
10:05 AM	Spatiotemporal Modeling of Distributional Climate Data Using Semiparametric Quantile Functional Regression Jeffrey S. Morris, University of Pennsylvania Perelman School of Medicine; Hojin Yang, Pusan National University; Veerabhadran Baladandayuthapani, University of Michigan; Birgir Hrafnkelsson, University of Iceland
10:30 AM	A Sequential Monte Carlo Gibbs Coupled with Stochastically Approximated Expectation-Maximization Algorithm for Functional Data Ziyue Liu, Indiana University School of Medicine
10:55 AM	Simultaneous Curve Registration and Clustering of Digital Electrocardiogram Wei Yang, University of Pennsylvania; Wensheng Guo, University of Pennsylvania
11:20 AM	A Latent Class Functional Mixed Effects Model for Flexible Longitudinal Data Clustering Tianhao Wang, Rush University Medical Center
11:45 AM	Floor Discussion

233 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Evaluating Individualized Predictions of Risk and Benefit for Clinical Use — Topic-Contributed Papers
WNAR, Biometrics Section, ENAR
Organizer(s): Hormuzd Katki, National Cancer Institute
Chair(s): Debamita Kundu, NIH/NCI
10:05 AM	Model-Based ROC (MROC) Curve: Examining the Effect of Case-Mix and Model Calibration on the ROC Plot Presentation Mohsen Sadatsafavi, The University of British Columbia ; Paramita Saha-Chaudhuri, University of Vermont; John Petkau, The University of British Columbia
10:25 AM	Moving from Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained from Prevention Services Li C Cheung, US National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Hormuzd Katki, National Cancer Institute
10:45 AM	Using Stochastic Orders to Evaluate Performance of Predictive Models: Intransitivity, Area Under the ROC, and Strength of Stochastic Order Relationships Olga Demler, Harvard University
10:55 AM	Discussant: Gene Pennello, FDA
11:25 AM	Floor Discussion

273 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Causal Inference and Personalized Medicine Based on Observational Data — Topic-Contributed Papers
ENAR, International Chinese Statistical Association, International Indian Statistical Association
Organizer(s): Maiying Kong, University of Louisville
Chair(s): Mark Meyer, Georgetown University
1:35 PM	Estimation of Average Treatment Effects Among Multiple Treatment Groups by Using an Ensemble Approach Maiying Kong, University of Louisville
1:55 PM	A Multiple Robust Propensity Score Method for Longitudinal Analysis with Intermittent Missing Data Ming Wang, Penn State Milton S Hershey Medical Center; Chixiang Chen, University of Pennsylvania; Biyi Shen, Penn State Milton S Hershey Medical Center; Rongling Wu, Penn State Milton S Hershey Medical Center; Aiyi Liu, National Institute of Child Health and Human Development
2:15 PM	Personalized Treatment Selection Using Observational Data Presentation Sudaraka Tholkage, University of Louisville; KB Kulasekara, University of Louisville; Maiying Kong, University of Louisville
2:35 PM	Weighted ?^2 Test and F Test for Multiple Group Comparisons in Observational Studies Xiaofang Yan, Medpace, Inc.; Qi Zheng, University of Louisville; Maiying Kong, University of Louisville
2:55 PM	Optimal Personalized Treatment Selection with Multiple Outcomes Susmita Datta, University of Florida
3:15 PM	Floor Discussion

278 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Innovative Methods for Predicting Public Health Outcomes and Informing Policy — Topic-Contributed Papers
Section on Statistics in Epidemiology, ENAR, Health Policy Statistics Section
Organizer(s): Ashley Buchanan, College of Pharmacy, University of Rhode Island
Chair(s): Anarina Murillo, Brown University
1:35 PM	Spillover Effects of Pre-Exposure Prophylaxis Delivery for HIV Prevention: Evaluating the Importance of Effect Modification using an Agent-Based Model Ashley Buchanan, College of Pharmacy, University of Rhode Island; Carolyn Park, Brown School of Public Health; Sam Bessey, Brown School of Public Health; William Goedel, Brown School of Public Health; Eleanor Murray, Boston University; Samuel Friedman, Department of Population Health, NYU Grossman School of Medicine; M. Elizabeth Halloran, Public Health Sciences Division, Fred Hutch; Natallia Katenka, Department of Computer Science and Statistics, University of Rhode Island; Brandon DL Marshall, Brown School of Public Health
1:55 PM	Multilevel Network Models for Evaluation of Network-Informed HIV Prevention Interventions Nicole Bohme Carnegie, Montana State University
2:15 PM	Novel Application of a Multistate Model to Investigate the Opioid Use Disorder Care Cascade in Rhode Island Hilary Aroke, University of Rhode Island; Ashley Buchanan, College of Pharmacy, University of Rhode Island; Anarina Murillo, Brown University; Tianyu Sun, University of Rhode Island; Jeffrey Bratberg, University of Rhode Island; Stephen Kogut, University of Rhode Island; Brandon DL Marshall, Brown School of Public Health; Joseph Hogan, Brown University
2:35 PM	Cardiovascular Health Inequities: Innovative Methods Coupled with Diverse Observational Cohorts Equals a Recipe for Evidence-Based Policies Loni Tabb, Drexel Univerisity
2:55 PM	Discussant: Joseph Hogan, Brown University
3:15 PM	Floor Discussion

297	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Recent Statistical Advances for Mobile Health — Invited Papers
Biometrics Section, ENAR, WNAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Zhenke Wu, University of Michigan, Ann Arbor
3:35 PM	Recurrent Event Analysis in the Presence of Real-Time High-Frequency Data via Random Subsampling Walter Dempsey, University of Michigan
3:50 PM	Regularized Greedy Gradient Q-Learning with Mobile Health Applications Min Qian, Columbia University
4:05 PM	Physical Activity Is the Strongest Modifiable Risk Factor for Mortality: A Short Story Based on NHANES and UK Biobank Data Ciprian Crainiceanu, Johns Hopkins University
4:20 PM	Safe learning methods for mHealth Eric Laber, Duke University
4:35 PM	Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach Nathan Kallus, Cornell University
4:50 PM	Scalar on time-by-distribution regression and its application to modelling cognitive function in Alzheimer's Disease Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
5:05 PM	Floor Discussion

300 !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Addressing Statistical Challenges of the COVID-19 Crisis — Invited Papers
ENAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Jing Huang, University of Pennsylvania Perelman School of Medicine
Chair(s): Jiasheng Shi, University of Pennsylvania Perelman School of Medicine
3:35 PM	Transmission Dynamic Modeling for COVID-19 Data in US and the World Haoyu Zhang, Harvard T.H. Chan School of Public Health; Chaolong Wang, Huazhong University of Science and Technology; Xihong Lin, Harvard T.H. Chan School of Public Health
4:00 PM	Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States Presentation Nick Altieri, University of California, Berkeley; Rebecca L Barter, University of California, Berkeley; James Duncan, University of California, Berkeley; Raaz Dwivedi, University of California, Berkeley; Karl Kumbier, University of California, San Francisco; Xiao Li, University of California, Berkeley; Robert Netzorg, University of California, Berkeley; Briton Park, University of California, Berkeley; Chandan Singh, University of California, Berkeley; Yan Shuo Tan, University of California, Berkeley; Tiffany Tang, University of California, Berkeley; Yu Wang, University of California, Berkeley; Chao Zhang, University of California, Santa Barbara; Bin Yu, University of California, Berkeley
4:25 PM	A Semiparametric Regression Model with Online Estimation Algorithm for Dynamics of Disease Transmission Jing Huang, University of Pennsylvania Perelman School of Medicine ; Jiasheng Shi, University of Pennsylvania Perelman School of Medicine ; David Rubin, Children's Hospital of Philadelphia; Jeffrey S. Morris, University of Pennsylvania Perelman School of Medicine
4:50 PM	Genetic Variants Are Identified to Increase Risk of COVID-19-Related Mortality from UK Biobank Data Cai Li, Yale University; Jianchang Hu, Yale University; Shiying Wang, Yale University; Ting Li, Yale University; Heping Zhang, Yale University
5:15 PM	Floor Discussion

334 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Functional and Geometric Approaches for Imaging Data — Invited Papers
Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Shariq Mohammed, University of Michigan
Chair(s): Veerabhadran Baladandayuthapani, University of Michigan
10:05 AM	Machine Learning Frameworks for Association Mapping with 3D Shapes and High-Resolution Imaging Lorin Crawford, Microsoft Research
10:30 AM	Tumor Radiogenomics with Bayesian Layered Variable Selection Shariq Mohammed, University of Michigan; Sebastian Kurtek, The Ohio State University; Karthik Bharath, University of Nottingham; Arvind Rao, University of Michigan; Veerabhadran Baladandayuthapani, University of Michigan
10:55 AM	Simultaneous Registration and Estimation of Fractional Anisotropy Profiles from Fragmented and Noisy Observations Sebastian Kurtek, The Ohio State University; James Matuk, Department of Statistics, The Ohio State University; Oksana Chkrebtii, The Ohio State University; Karthik Bharath, University of Nottingham
11:20 AM	Learning Temporal Evolution of Spatial Dependence with Non-separable, Non-stationary Gaussian Process Models Shiwei Lan, Arizona State University
11:45 AM	Floor Discussion

338 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Advice for Junior Researchers on How to Become a Better Mentor and Lead a Research Group — Invited Panel
ENAR, Biometrics Section, Committee on Career Development
Organizer(s): Joseph Antonelli, University of Florida
Chair(s): Naomi Brownstein, Moffitt Cancer Center
10:05 AM	Advice for Junior Researchers on How to Become a Better Mentor and Lead a Research Group
Panelists:	Brian Caffo, Johns Hopkins University Susan Paddock, NORC at the University of Chicago Paul S. Albert, National Cancer Institute Brisa Sanchez, Drexel University
11:40 AM	Floor Discussion

342 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Measurement Challenges and Innovations in Cognitive Aging and Dementia Research: Progress from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Topic-Contributed Papers
Section on Statistics in Epidemiology, WNAR, ENAR
Organizer(s): Crystal Shaw, UCLA Fielding School of Public Health
Chair(s): Shubhabrata Mukherjee, University of Washington
10:05 AM	Co-Calibrating Cognitive Scores Across Multiple Studies of Dementia Laura Gibbons, University of Washington; Paul K Crane, University of Washington; Shubhabrata Mukherjee, University of Washington
10:25 AM	Co-Calibration of Cognitive Functioning Domains Across Different Countries When There Are No Common Linking Items Alden Gross, Johns Hopkins Bloomberg School of Public Health; Emma L Nichols, Johns Hopkins Bloomberg School of Public Health
10:45 AM	A Bayesian latent class mixture modeling framework for algorithmic dementia classification in population-representative studies Crystal Shaw, UCLA Fielding School of Public Health; donatello telesca, UCLA; Elizabeth Rose Mayeda, UCLA FSPH; Thomas R. Belin, UCLA FSPH
11:05 AM	Sensitivity Analysis for Nonignorable Missingness and Outcome Misclassification from Proxy Reports Michelle Shardell, University of Maryland School of Medicine
11:25 AM	Integrating Latent Variable Modeling, Statistical Learning, and Inverse Propensity Score Weighting to Identify Longitudinal Trajectory Phenotypes and the Underlying Disparity Presentation Chen-Pin Wang, University of Texas Health Science Center San Antonio; Mitzi M Gonzales, University of Texas Health Science Center San Antonio; Helen Hazuda, University of Texas Health Science Center San Antonio; Sudha Seshadri, University of Texas Health Science Center San Antonio
11:45 AM	Floor Discussion

366 *	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Trial Design and Analysis Methods for COVID-19 Treatment/Prevention — Invited Papers
ENAR, Biopharmaceutical Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Michael Rosenblum, Johns Hopkins University
Chair(s): Bingkai Wang, Johns Hopkins Bloomberg School of Public Health
12:05 PM	Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment for Binary, Ordinal, or Time-to-Event Outcomes David Benkeser, Emory University; Ivan Diaz, Weill Cornell Medical College; Alex Luedtke, University of Washington; Daniel Scharfstein, University of Utah; Jodi Seagal, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
12:30 PM	Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue? Cornelia Kunz, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany ; Silke Jörgens, Janssen-Cilag GmbH, Neuss, Germany ; Frank Bretz, Novartis AG; Nigel Stallard, The University of Warwick, Coventry, UK; Kelly Van Lancker, Ghent University, Belgium; Dong Xi, Novartis Pharmaceuticals, East Hanover, New Jersey, USA ; Sarah Zohar, Sorbonne Université, Paris, France; Christoph Gerlinger, Statistics and Data Insights, Bayer AG, Berlin, Germany ; Tim Friede, University Medical Center Göttingen, Göttingen, Germany
12:55 PM	Challenges in clinical trial design during a pandemic: Experiences from the UK and beyond Thomas Jaki, University of Cambridge
1:20 PM	Discussant: Laura Lee Johnson, Center for Drug Evaluation and Research, U.S. FDA
1:40 PM	Floor Discussion

397 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Personalized Medicine with Large-Scale Data: Beyond Machine Learning — Invited Papers
ENAR, Lifetime Data Science Section, International Chinese Statistical Association
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yichuan Zhao, Georgia State University
2:05 PM	Inference for High-Dimensional Censored Quantile Regression Yi Li, University of Michigan
2:30 PM	Testing a High-Dimensional Parameter in the Presence of High-Dimensional Nuisance Parameters Wei Pan, University of Minnesota
2:55 PM	Personalized Medicine with Large-Scale Data: Beyond Machine Learning Ross Laverne Prentice, Fred Hutchinson Cancer Research Center
3:20 PM	Discussant: Ian McKeague, Columbia University
3:45 PM	Floor Discussion

402 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Integrative Inference with Data from Multiple Sources: Challenges and New Developments — Topic-Contributed Papers
ENAR, IMS, Section on Statistical Computing
Organizer(s): Emily C Hector, North Carolina State University
Chair(s): Emily C Hector, North Carolina State University
2:05 PM	Integrating Multisource Block-Wise Missing Data in Model Selection Fei Xue, University of Pennsylvania; Annie Qu, Unviersity of California Irvine
2:25 PM	Integrative Factor Regression and Its Inference for Multimodal Data Analysis Quefeng Li, University of North Carolina at Chapel Hill; Lexin Li, University of California, Berkeley
2:45 PM	Federated Learning Approaches for Integrative Analysis of Heterogeneous Data Sources Lu Tang, University of Pittsburgh
3:05 PM	Data Integration with Oracle Use of External Information from Heterogeneous Populations Peisong Han, University of Michigan
3:25 PM	Causal Inference for Combining RCTs and Observational Studies: Methods Comparison and Medical Application Presentation Bénédicte Colnet, INRIA Saclay; Imke Mayer, Centre d'Analyse et de Mathématiques Sociales, EHESS; Guanhua Chen, Department of Biostatistics and Medical Informatics, University of Winsconsin-Madison; Awa Dieng, Google Research; Ruohong Li, Indiana University School of Medicine; Gaël Varoquaux, INRIA Saclay; Jean-Philippe Vert, Google Research; Julie Josse, INRIA Sophia-Antipolis; Shu Yang, North Carolina State University
3:45 PM	Floor Discussion

418 *	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Recent Developments in Network Meta-Analysis — Invited Papers
ENAR, International Chinese Statistical Association, Section on Statistics in Epidemiology
Organizer(s): Haitao Chu, University of Minnesota Twin Cities
Chair(s): Rui Duan, Harvard University
4:05 PM	The Impact of Covariance Priors on Arm-Based Bayesian Network Meta-Analyses with Binary Outcomes Zhenxun Wang, University of Minnesota Twin Cities; Lifeng Lin, Florida State University; James Hodges, University of Minnesota Twin Cities; Haitao Chu, University of Minnesota Twin Cities
4:30 PM	Assessment of Homogeneity and Consistency for Network Meta-Analysis Joseph G Ibrahim, UNC; Cheng Zhang, UCONN; Hao Li, Boeringer-Ingelheim; Ming-Hui Chen, UCONN; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.
4:55 PM	Predictive Treatment Ranking in Bayesian Network Meta-Analysis Lifeng Lin, Florida State University
5:20 PM	Bayesian Network Meta-Regression Hierarchical Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances Hao Li, University of Connecticut; Daeyoung Lim, University of Connecticut; Ming-Hui Chen, UCONN; Joseph G Ibrahim, UNC; Sungduk Kim, National Cancer Institute; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.
5:45 PM	Floor Discussion

421 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Statistical Challenges Linked to Estimands of Interest: Leaving No Stone Unturned — Invited Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC; Elena Polverejan, Janssen Research & Development, LLC
Chair(s): Elena Polverejan, Janssen Research & Development, LLC
4:05 PM	The Only Missing Data Left in Town? Study Withdrawals and the Treatment Policy Approach Siying Sylvia Li, IQVIA; Michael O'Kelly, IQVIA
4:30 PM	The Role of Hypothetical Estimand Strategies in Clinical Trials Frank Bretz, Novartis AG; Mouna Akacha, Novartis
4:55 PM	Does This Treatment Cause That Outcome? Stephen J Ruberg, Analytix Thinking, LLC
5:20 PM	Discussant: H. M. James Hung, U.S. Food and Drug Administration (FDA)
5:45 PM	Floor Discussion

422 !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Recent Development of Machine Learning Methods in Causal Inference — Invited Papers
Section on Statistical Learning and Data Science, ENAR, American Association for the Advancement of Science
Organizer(s): Rui Song, North Carolina State University
Chair(s): Hongtu Zhu, University of North Carolina
4:05 PM	Nonparametric Inverse Probability Weighted Estimators Based on the Highly Adaptive Lasso Ashkan Ertefaie, University of Rochester; Nima Hejazi, University of California, Berkeley; Mark Van Der Laan, University of California
4:25 PM	Calibrated Optimal Decision-Making with Multiple Data Sources and Limited Outcome Hengrui Cai, North Carolina State University
4:45 PM	Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis Max Goplerud, University of Pittsburgh; Kosuke Imai, Harvard University; Nicole E Pashley, Rutgers University
5:05 PM	Almost Matching Exactly Cynthia Rudin, Duke University; Alexander Volfovsky, Duke University; Sudeepa Roy, Duke University
5:25 PM	Discussant: Jelena Bradic, University of California, San Diego
5:45 PM	Floor Discussion

432 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Novel Statistical Methods for Microbiome Data Analysis — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Xiang Zhan , Penn State University
Chair(s): Arun Srinivasan, Penn State University
4:05 PM	Controlled Microbiome Variable Selection Analysis Xiang Zhan , Penn State University; Arun Srinivasan, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
4:25 PM	Corncob: Statistical Modeling of Microbial Abundances and Dysbiosis with Beta-Binomial Regression Bryan D Martin, University of Washington; Daniela Witten, University of Washington; Amy D Willis, University of Washington
4:45 PM	Meta-Analysis of Microbiome Studies for Selecting Disease-Associated Microbial Signatures ZhengZheng Tang, University of Wisconsin-Madison
5:05 PM	Rarefaction-Based Extensions of the LDM and PERMANOVA for Testing Presence-Absence Associations in the Microbiome Yijuan Hu, Emory University; Andrea Lane, Emory University; Glen Satten, Emory University
5:25 PM	Dimension Reduction of Longitudinal Microbiome Data via Tensor Functional SVD Pixu Shi, Duke University; Rungang Han, University of Wisconsin-Madison; Anru Zhang, Duke University
5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association