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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
11:45 AM Floor Discussion
 
 

233 * !
Wed, 8/11/2021, 10:00 AM - 11:50 AM
Evaluating Individualized Predictions of Risk and Benefit for Clinical Use — Topic-Contributed Papers
11:25 AM Floor Discussion
 
 

273 * !
Wed, 8/11/2021, 1:30 PM - 3:20 PM
Statistical Methods for Causal Inference and Personalized Medicine Based on Observational Data — Topic-Contributed Papers
3:15 PM Floor Discussion
 
 

278 * !
Wed, 8/11/2021, 1:30 PM - 3:20 PM
Innovative Methods for Predicting Public Health Outcomes and Informing Policy — Topic-Contributed Papers
3:15 PM Floor Discussion
 
 

297
Wed, 8/11/2021, 3:30 PM - 5:20 PM
Recent Statistical Advances for Mobile Health — Invited Papers
5:05 PM Floor Discussion
 
 

300 !
Wed, 8/11/2021, 3:30 PM - 5:20 PM
Addressing Statistical Challenges of the COVID-19 Crisis — Invited Papers
5:15 PM Floor Discussion
 
 

334 * !
Thu, 8/12/2021, 10:00 AM - 11:50 AM
Functional and Geometric Approaches for Imaging Data — Invited Papers
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
Council of Sections
Chair(s): Ofer Harel, University of Connecticut
11:40 AM Floor Discussion
 
 

342 * !
Thu, 8/12/2021, 10:00 AM - 11:50 AM
Measurement Challenges and Innovations in Cognitive Aging and Dementia Research: Progress from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Topic-Contributed Papers
11:45 AM Floor Discussion
 
 

366 *
Thu, 8/12/2021, 12:00 PM - 1:50 PM
Trial Design and Analysis Methods for COVID-19 Treatment/Prevention — Invited Papers
1:40 PM Floor Discussion
 
 

397 * !
Thu, 8/12/2021, 2:00 PM - 3:50 PM
Personalized Medicine with Large-Scale Data: Beyond Machine Learning — Invited Papers
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
University of Michigan
Organizer(s): Fatma Nedjari, University of Michigan
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
JSM
Organizer(s): Donna LaLonde, American Statistical Association
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
Section on Statistics in Sports
Chair(s): Phil Yates, DePaul University
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
Mu Sigma Rho
Organizer(s): Lisa Kay, Eastern Kentucky University
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
National Center for Science and Engineering Statistics
Chair(s): Vipin Arora, NCSES; Jason Johnson, NCSES; Jessica Rivera, NCSES
5:45 PM Floor Discussion