Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

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All Times EDT

Legend:
CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

9 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-207B
Challenges in the Analysis of Spatially Resolved Cell Imaging Data — Invited Papers
WNAR, Biometrics Section, ENAR
Organizer(s): Debashis Ghosh, Colorado School of Public Health
Chair(s): Debashis Ghosh, Colorado School of Public Health
2:05 PM	Spatial Heterogeneity and Interactions in Pathology Images of Tumor Microenvironment Inna Chervoneva, Thomas Jefferson University
2:35 PM	Bioconductor Infrastructure for Analyzing Multiplex Single Cell Imaging Data in R Julia Wrobel, Colorado School of Public Health
3:05 PM	Cell Normalization and Phenotyping for Multiplexed Single-Cell Imaging Simon N Vandekar, Vanderbilt University Medical Center; Coleman R Harris, Vanderbilt University; Jiangmei Ruby Xiong, Vanderbilt University
3:35 PM	Floor Discussion

10 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-101
Recent Advances in Statistical Methods Applied to Racial Equity Research — Invited Papers
ENAR, American Public Health Association, Section on Statistics in Epidemiology, Justice Equity Diversity and Inclusion Outreach Group, Caucus for Women in Statistics
Organizer(s): Ruby Lee Bayliss, Dornsife School of Public Health, Drexel University
Chair(s): Loni Philip Tabb, Dornsife School of Public Health, Drexel University
2:05 PM	Predicting Asthma Morbidity in Multiethnic Urban Rhode Island Children Anarina Murillo, New York University; Loni Philip Tabb, Dornsife School of Public Health, Drexel University; Rachel Gaither, Brown University; Sheryl J Kopel, Brown University; Michelle L Rogers, Brown University; Melanie Morales Aquino, Brown University; Patrick M Vivier, Brown University; Daphne Koinis-Mitchell, Brown University
2:20 PM	A Spatial Assessment of the Impact of Residential Segregation on Racial/Ethnic Cardiovascular Health Inequities Ruby Lee Bayliss, Dornsife School of Public Health, Drexel University; Harrison Quick, Drexel University; Loni Philip Tabb, Dornsife School of Public Health, Drexel University; Sharrelle Barber, Dornsife School of Public Health, Drexel University; Mahasin Mujahid, University of California, Berkeley School of Public Health; Kiarri Kershaw, Northwestern University, Feinburg School of Medicine
2:35 PM	Alternative Evaluation for the Informativeness of Besag-York-Mollié CAR Model and Its Application to Disparities of Heart Disease Mortality Guangzi Song, Drexel Univerisity; Harrison Quick, Drexel University
2:50 PM	Limits of Relative Measures in Health Disparities Research Miguel Marino, Oregon Health & Science University; David Ezekiel-Herrera, Oregon Health & Science University; John Heintzman, Oregon Health & Science University
3:05 PM	Disparities in Missingness Produce Algorithmic Bias: Availability of Family Health History in Electronic Medical Records Melody Goodman, New York University
3:20 PM	Discussant: Lance Waller, Rollins School of Public Health, Emory University
3:35 PM	Floor Discussion

37 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-203AB
Novel Semiparametric Methods for Causal Inference — Invited Papers
SSC (Statistical Society of Canada), Section on Statistics in Epidemiology, ENAR
Organizer(s): Denis Talbot, Université Laval
Chair(s): Denis Talbot, Université Laval
4:05 PM	Exposure-Induced Confounding of Missingness in Cause of Failure with Applications in Estimating Strain-Specific Efficacy of Vaccines David Benkeser, Emory University, Rollins School of Public Health; Lars van der Laan, University of Washington; Ziyue Wu, Emory University, Rollins School of Public Health
4:30 PM	Estimands and Estimation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Connections to Causal Inference Mireille Elisa Schnitzer, Universite de Montreal
4:55 PM	A Semiparametric G-Computation Approach Based on Cumulative Probability Models Andrew J Spieker, Vanderbilt University Medical Center; Caroline Birdrow, Vanderbilt University Medical Center; Bryan Shepherd, Vanderbilt University Medical Center
5:20 PM	Privacy-Preserving Estimation of an Optimal Individualized Depression Treatment Erica EM Moodie, McGill University; Janie EM Coulombe, McGill University; Susan M Shortreed, Kaiser Permanente Washington Health Research Institute; Christel Renoux, Lady Davis Institute
5:45 PM	Floor Discussion

41 !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-144C
Mitigating Spatial Confounding: A Modern Take — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Abhi Datta, Johns Hopkins University
Chair(s): Abhi Datta, Johns Hopkins University
4:05 PM	Rethinking Spatial Confounding: Determining When Adjustment Improves Inference in Spatial Linear Mixed Models Kori Khan, Iowa State University; Candace Berrett, Brigham Young University
4:35 PM	Estimating Spatially Varying Health Effects of Wildland Firesmoke Using Mobile Health Data Lili James Wu, North Carolina State University; Shu Yang, North Carolina State University; Brian James Reich, North Carolina State University; Ana Rappold, US Environmental Protection Agency
5:05 PM	A Causal Inference Framework to Address Spatial Confounding in Geostatistics Brian Gilbert, Johns Hopkins University; Abhi Datta, Johns Hopkins University; Joan A Casey, Columbia University; Elizabeth Ogburn, Johns Hopkins University
	Discussant: Corwin Zigler, University of Texas at Austin
5:35 PM	Floor Discussion

42 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-150A
Recent Developments of Statistical Methods for Microbiome Research — Invited Papers
Biometrics Section, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Gen Li, University of Michigan
Chair(s): Stephanie Garcia, Florida International University
4:05 PM	Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes Hongzhe Li, University of Pennsylvania
4:35 PM	A Bayesian Joint Model for Mediation Effect Selection in Compositional Microbiome Data Marina Vannucci, Rice University
5:05 PM	Phylogenetically Informed Bayesian Truncated Copula Graphical Models for Microbial Association Networks Presentation Irina Gaynanova, Texas A&M University; Hee Cheol Chung, Texas A&M University; Yang Ni, Texas A&M University
5:35 PM	Floor Discussion

45 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-150B
Recent Development in Mobile/Wearable Device Data Analysis — Invited Papers
Health Policy Statistics Section, ENAR, IMS
Organizer(s): Jingjing Zou, University of California at San Diego (UCSD)
Chair(s): Loki Natarajan, University of California at San Diego (UCSD)
4:05 PM	A Novel Functional Data Analysis Approach to Modeling Longitudinal Changes in Physical Activity Patterns Jingjing Zou, University of California at San Diego (UCSD); Tuo Lin, University of California San Diego; Chongzhi Di, Fred Hutchinson Cancer Research Center; John Bellettiere, UCSD; Marta Jankowska, Beckman Research Institute, City of Hope; Sheri J. Hartman, University of California, San Diego; Dorothy D. Sears, Arizona State University and University of California, San Diego; Andrea LaCroix, UCSD; Cheryl Rock, University of California, San Diego; Loki Natarajan, University of California at San Diego (UCSD)
4:30 PM	Distributional Data Analysis via Quantile Functions and Its Application to Modeling Digital Biomarkers Vadim Zipunnikov, Johns Hopkins University, Bloomberg School of Public Health; Rahul Ghosal, Johns Hopkins University, Bloomberg School of Public Health
4:55 PM	Improving Efficiency of Causal Excursion Effect Estimation via Machine Learning Tianchen Qian, University of California, Irvine; Zhaoxi Cheng, Harvard University
5:20 PM	Measuring Variability in Rest-Activity Rhythms with Application to Characterizing Symptoms of Depression Robert T Krafty, Emory University; Haoyi Fu, University of Pittsburgh; Jessica Graves, University of Pittsburgh; Scott Bruce, Texas A&M University; Martica Hall, University of Pittsburgh; Stephen Smagula, University of Pittsburgh
5:45 PM	Floor Discussion

47 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-152B
Causal Inference in the Presence of Nuisance Parameters: Latest Developments — Invited Papers
IMS, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Judith Jacqueline Lok, Boston University
Chair(s): Qingyan Xiang, Boston University
4:05 PM	Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression Presentation Whitney Newey, MIT Economics; Victor Chernozhukov, MIT Economics; Vasilis Syrgkanis, Microsoft Research; Victor Quintas-Martinez, MIT Economics
4:30 PM	Sequentially Debiased Estimation of Identified Total Effects in Causal Graphical Models with Hidden Variables Andrea ROTNITZKY, Universidad Torcuato Di Tella; Ezequiel Smucler, Glovo; James M Robins, Harvard University
4:55 PM	How Estimating Nuisance Parameters Often Reduces the Variance (With Variance Correction) Judith Jacqueline Lok, Boston University
5:20 PM	Discussant: Oliver Dukes, University of Pennsylvania
5:40 PM	Floor Discussion

53 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-143B
Considerations in Selection of the Appropriate Intercurrent Event Strategies for Estimands: Hypothetical vs. Composite vs. Treatment Policy — Topic Contributed Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Elena Polverejan, PhD, Janssen Research & Development, LLC
4:05 PM	Hypothetical Conversations: Which Estimand Strategies Are Clinically Relevant When Trial Participants Do Not Follow Clinically Relevant Protocol Guidelines? Bohdana Ratitch, Bayer Inc., Canada; Katrin Roth, Bayer
4:25 PM	Treatment Policy Estimation – Hidden Sources of Bias Michael Paul O'Kelly, IQVIA; Sylvia Siying Li, IQVIA
4:45 PM	Targeting Composite Estimands Using Trimmed Means Alex Ocampo, Novartis Pharma AG
5:05 PM	Discussant: Hsien-Ming 'James' Hung, PhD, U. S. FDA
5:25 PM	Discussant: Yongming Qu, PhD, Lilly
5:45 PM	Floor Discussion

83	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-143B
Frontiers in Analysis of Microbiome Data: From Methods to Applications — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Yijuan Hu, Emory University
Chair(s): Yijuan Hu, Emory University
8:35 AM	Tensor Reduced-Rank Regression with Incomplete Observations, with Application to Longitudinal Microbiome Analysis Gen Li, University of Michigan
9:00 AM	Effects of Differential Microbiome Volatility on Longitudinal Association Tests Anna Plantinga, Williams College; Daniel Park, Roivant Sciences
9:25 AM	Analysis of Microbiomes Associated with COVID-19 Diagnostic Testing Swabs with Respect to Disease Status and Severity Alexander V. Alekseyenko, Medical University of South Carolina
9:50 AM	Microbial Trend Analysis in Longitudinal Microbiome Study Huilin Li, New York University; Chan Wang, New York University
10:15 AM	Floor Discussion

86 *	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-151B
New Topics and Methodological Developments for Single-Cell Data Science — Invited Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Jingshu Wang, The University of Chicago
Chair(s): Jingshu Wang, The University of Chicago
8:35 AM	Spatially Informed Cell-Type Deconvolution for Spatial Transcriptomics Xiang Zhou, University of Michigan; Ying Ma, University of Michigan
9:00 AM	A Distribution-Free Independence Test for High-Dimensional Data Jing Lei, Carnegie Mellon University; Zhanrui Cai, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
9:25 AM	Harnessing Multimodal Single-Cell Sequencing Data for Integrative Analysis with Cobolt Elizabeth Purdom, UC Berkeley; Boying Gong, UC Berkeley; Yun Zhao, UC Berkeley
9:50 AM	Statistical Analysis of Single Cell CRISPR Screens Presentation Eugene Katsevich, University of Pennsylvania; Timothy Barry, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University; Xuran Wang, Carnegie Mellon University; John Morris, New York Genome Center
10:15 AM	Floor Discussion

88	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-152B
Recent Advances in Multimodal Neuroimaging Data Integration — Invited Papers
Section on Statistics in Imaging, Biometrics Section, ENAR
Organizer(s): Elizabeth Sweeney, University of Pennsylvania
Chair(s): Julia Wrobel, Colorado School of Public Health
8:35 AM	Clustering Using JIVE with Gaussian Mixtures for Data Integration Benjamin Risk, Emory University; Gavin Tian, Emory University; James Lah, Emory University School of Medicine; John Hanfelt, Emory University
9:05 AM	Supervised and Unsupervised Learning for Multimodal Data Integration Brian Caffo, Johns Hopkins University
9:35 AM	A Spatial Bayesian Latent Factor Model for Image-on-Image Regression Jian Kang, University of Michigan
10:05 AM	Floor Discussion

97 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-149AB
New Methods for Structured Variable Selection — Topic Contributed Papers
SSC (Statistical Society of Canada), ENAR, Section on Statistical Computing
Organizer(s): Mireille Elisa Schnitzer, Universite de Montreal; Guanbo Wang, McGill University
Chair(s): Mireille Elisa Schnitzer, Universite de Montreal
8:35 AM	A General Framework for Identification of Permissible Variable Subsets in Structured Model Selection Presentation Guanbo Wang, McGill University; Mireille Elisa Schnitzer, Universite de Montreal; Tom Chen, Harvard Pilgrim Health Care Institute and Harvard Medical School; Rui Wang, Harvard T.H. Chan School of Public Health; Robert William Platt, McGill University
8:55 AM	Leveraging the Predictor Structure with a Doubly Sparse Penalty Function to Improve Outcome Prediction and Relevant Predictor Identification Matthew Stephenson, University of New Brunswick - Saint John; Ayesha Ali, University of Guelph; Gerarda Darlington, University of Guelph
9:15 AM	Flexible Regularized Estimating Equations: Some New Perspectives Yi Yang, McGill University
9:35 AM	Variable Selection in High-Dimensional Linear Regression Accounting for Heterogeneity in Covariate Effects Across Multiple Data Sources Tingting Yu, Harvard Pilgrim Health Care Institute and Harvard Medical School
9:55 AM	Canonical Correlation Analysis in High Dimensions with Structured Regularization Elena Tuzhilina, Stanford University; Leonardo Tozzi, Stanford University; Trevor Hastie, Stanford University
10:15 AM	Floor Discussion

120 !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-102A
Recent Developments in Causal Inference — Invited Papers
IMS, Biometrics Section, ENAR
Organizer(s): Fei Xue, Purdue University
Chair(s): Fei Xue, Purdue University
10:35 AM	Energy Balancing of Covariate Distributions for Estimation of Causal Effects Jared Davis Huling, University of Minnesota; Simon Mak, Duke University
11:00 AM	Causal Inference with Invalid Instruments: Post-Selection Problems and a Solution Using Searching and Sampling Zijian Guo, Rutgers University
11:25 AM	Kernel Ordinary Differential Equations Xiaowu Dai, UC Berkeley; Lexin Li, University of California, Berkeley
11:50 AM	Randomization Inference Beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects Xinran Li, University of Illinois at Urbana-Champaign
12:15 PM	Floor Discussion

132 *	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-204B
Statistical Advances in Dimension Reduction and Feature Interpretability in Neuroimaging — Topic Contributed Papers
ENAR, Section on Statistics in Imaging, Biometrics Section
Organizer(s): Sarah M Weinstein, University of Pennsylvania
Chair(s): Russell Shinohara, University of Pennsylvania
10:35 AM	Longitudinal Canonical Correlation Analysis seonjoo lee, columbia university/NYSPI; Jongwoo Choi, NYSPI; zhiqian Fang, NYSPI; F Dubois Bowman, Univeristy of Michigan
10:55 AM	Multimodal Data Fusion for Imaging Genomics Nicole A. Lazar, Pennsylvania State University; Krissy Knight, UC San Francisco; Liang Liu, University of Georgia
11:15 AM	Neurodevelopment Subtyping via Multidimensional Brain Functional Connectomes Yize Zhao, Yale University
11:35 AM	CLEAN: Leveraging Spatial Autocorrelation in Neuroimaging Data in Clusterwise Inference Jun Young Park, University of Toronto; Mark Fiecas, University of Minnesota
11:55 AM	Nuisance Variable-Adjusted Feature Extraction Through Penalized Decomposition Using Residuals Sarah M Weinstein, University of Pennsylvania; Christos Davatzikos, University of Pennsylvania; Jimit Doshi, University of Pennsylvania; Guray Erus, University of Pennsylvania; Kristin Linn, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
12:15 PM	Floor Discussion

146	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-204C
Functional and High-Dimensional Analysis — Contributed Papers
ENAR
Chair(s): Laura Hatfield, Harvard Medical School
10:35 AM	High-Dimensional Generalized Linear Models with and Without Dimension Reduction Techniques Mian Arif Shams Adnan, Bowling Green State University
10:50 AM	Fair Generalized Linear Models Hyungrok Do, NYU Grossman School of Medicine; Preston Putzel, University of California, Irvine; Padhraic Smyth, University of California Irvine; Judy Zhong, New York University Grossman School of Medicine
11:05 AM	Optimal Subgroup Selection Timothy I. Cannings, University of Edinburgh; Henry W. J. Reeve, University of Bristol; Richard J Samworth, University of Cambridge
11:20 AM	Generalized Functional Linear Regression Model with Functional and Scalar Covariates Measured with Measurement Error Yuanyuan Luan, Indiana University; Roger S. Zoh, Indiana University; Carmen D. Tekwe, Indiana University
11:35 AM	Deep Learning Aided Feature Selection for Highly Correlated Predictors: A Case Study with Diffusion-MRI Data Arkaprabha Ganguli, Michigan State University; David Todem, Michigan State University; Andrew Bender, Michigan State University; Tapabrata Maiti, Michigan State University
11:50 AM	Floor Discussion

183 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-154A
Fuzzy Clusters: Crossing Boundaries Between Non-Academic and Academic Domains — Invited Panel
ENAR, Section on Statistics and Data Science Education, Council of Emerging and New Statisticians (CENS), Caucus for Women in Statistics
Organizer(s): Arielle K Marks-Anglin, Mathematica Inc.
Chair(s): Arielle K Marks-Anglin, Mathematica Inc.
2:05 PM	Fuzzy Clusters: Crossing Boundaries Between Non-Academic and Academic Domains
Panelists:	Lorin Crawford, Brown University Branko Miladinovic, Janssen Research & Development Bonnie Shook-Sa, University of North Carolina - Chapel Hill Sally C Morton, Arizona State University Adam J Sullivan, Takeda Pharmaceuticals Company
3:40 PM	Floor Discussion

186 *	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-203AB
Statistical Methods for Assessing Genomic Heterogeneity — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, ENAR, IMS
Organizer(s): Yuchao Jiang, University of North Carolina at Chapel Hill
Chair(s): Yuchao Jiang, University of North Carolina at Chapel Hill
2:05 PM	Identifying Novel Cells in Annotating Single Cell RNA-Seq Data Ziyi Li, The University of Texas MD Anderson Cancer Center; Yizhuo Wang, The University of Texas MD Anderson Cancer Center; Kim-Anh Do , MD Anderson Cancer Center
2:25 PM	Analyzing and Comparing Multiple Spatial Gene Expression Samples with POLYspace Zhicheng Ji, Duke University; Huimin Wang, Duke University School of Medicine
2:45 PM	Scaffold: Data Generation–Based Simulation Framework for Single-Cell RNA-Seq Data Rhonda Bacher, University of Florida; Parker Knight, University of Florida; Christina Kendziorski, University of Wisconsin-Madison
3:05 PM	Exploiting Deep Transfer Learning for the Prediction of Functional Noncoding Variants Using Genomic Sequence Li Chen, Indiana University
3:25 PM	Efficient Gradient Boosting for Prognostic Biomarker Discovery Xuefeng Wang, H. Lee Moffitt Cancer Center and Research Institute
3:45 PM	Floor Discussion

190	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-202B
Novel Approaches for Assessment of Health Outcomes and Multi-Cohort Data Integration Using Wearable Devices in Large-Scale Biomedical Studies — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Lucia Tabacu , Old Dominion University
Chair(s): Erjia Cui, Johns Hopkins University
2:05 PM	A Nonparametric Approach to Isotemporal Substitution Regression John Staudenmayer, UMass-Amherst
2:25 PM	Harmonization of Open-Source and Proprietary Accelerometry-Based Physical Activity Measures Marta Karas, Johns Hopkins University; John Muschelli, Johns Hopkins University; Andrew Leroux, University of Colorado ; Jacek K. Urbanek, Johns Hopkins University; Amal A. Wanigatunga, Johns Hopkins University; Jiawei Bai, Johns Hopkins University; Ciprian M. Crainiceanua, Johns Hopkins University; Jennifer A. Schrack, Johns Hopkins University
2:45 PM	Modeling Health Outcomes Using Accelerometry Data Collected by Different Wearable Devices Ekaterina Smirnova, Virginia Commonwealth University
3:05 PM	Unraveling the Relationship Between Physical Activity and Health Using Wearable Sensors Charles E. Matthews, National Cancer Institute
3:25 PM	A Hidden Markov Modeling Approach Combining Objective Measure of Activity and Subjective Measure of Self-Reported Sleep to Estimate the Sleep-Wake Cycle Semhar Ogbagaber, Bristol Myers Squib; Yifan Cui, National University of Singapore; Kaigang Li, Colorado School of Public Health; Ronald Iannotti, The CDM Group, Bethesda; Paul S. Albert, National Cancer Institute
3:45 PM	Floor Discussion

223590	Mon, 8/8/2022, 6:00 PM - 7:30 PM	M-Senate
ENAR Executive Committee Meeting — Other ICW
ENAR
Organizer(s): Simone Gray, Centers for Disease Control and Prevention

218 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-151B
Novel Methodology Development in High-Dimensional Longitudinal Data Analysis — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Lance Ford, The University of Oklahoma Health Sciences Center
Chair(s): Chao Xu, University of Oklahoma Health Sciences Center
8:35 AM	Regression Analysis of Correlations for Correlated Data Jie Hu, University of Science and Technology of China; Yu Chen, University of Science and Technology of China; Chenlei Leng, University of Warwick; Cheng Yong Tang, Temple University
8:55 AM	Network Based Analysis of High-Dimensional Longitudinal Data Yuwen Liu, Kansas State University; cen wu, Kansas State University
9:15 AM	Streaming Inference with Intensively Measured Longitudinal Outcomes from Wearable Devices Emily Charlotte Hector, North Carolina State University; Lan Luo, The University of Iowa
9:35 AM	Multi-Source Single-Cell Data Integration by Minimized Aggregated Wasserstein Barycenter Lynn Lin, Duke University; Jianbo Ye , Amazon Lab126; Jia Li, Pennsylvania State University
9:55 AM	Interpretable High-Dimensional Dynamical Models of Organismal Aging Trained with Longitudinal Data Andrew Rutenberg, Dalhousie University
10:15 AM	Floor Discussion

220 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-143B
Frontiers of Spatio-Temporal Statistical Learning in Health Care and Environmental Science — Invited Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Xinyi Li, Clemson University; Guannan Wang, College of William and Mary
Chair(s): Shan Yu, University of Virginia
8:35 AM	How Close and How Much? Linking Health Outcomes to Spatial Distributions of Built Environment Features Veronica J Berrocal, University of California
9:00 AM	Statistical Learning via Additive Partial Linear Spatial Regression Xinyi Li, Clemson University; Guanqun Cao, Auburn University; Lily Wang, George Mason University
9:25 AM	Spatial Automatic Subgroup Analysis for Areal Data with Repeated Measures Hao Helen Zhang, University of Arizona; Xin Wang, Miami University; Zhengyuan Zhu, Iowa State University
9:50 AM	A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States Yiwang Zhou, St. Jude Children's Research Hospital; Peter Song, University of Michigan
10:15 AM	Floor Discussion

222 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-207B
Cross-Disciplinary Research on Health Data Science — Invited Papers
National Institute of Statistical Sciences, ENAR, Biometrics Section
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
8:35 AM	Causal Inference Methods in Air Pollution Research Francesca Dominici, Harvard; Xiao Wu, Stanford
9:00 AM	Vaccine Safety Surveillance Using Routinely Collected Health Care Data: An Empirical Evaluation of Epidemiological Designs Marc A. Suchard, UCLA; Martijn J. Schuemie, Janssen Research and Development
9:25 AM	Context-Driven Statistical Models for Disease Progression in Cancer Studies Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan; Madeline Abbott, University of Michigan
9:50 AM	Discussant: James Landis Rosenberger, Penn State and NISS
10:15 AM	Floor Discussion

226 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-154A
Challenges and Opportunities for Funding Statistical Innovation — Invited Panel
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Charles B Hall, Albert Einstein College of Medicine
Chair(s): Charles B Hall, Albert Einstein College of Medicine
8:35 AM	Challenges and Opportunities for Funding Statistical Innovation
Panelists:	Dallas Wayne Anderson, National Institute on Aging, National Institutes of Health Kiros T Berhane, Columbia University Douglas Landsittel, Indiana University School of Public Health-Bloomington Michelle D Shardell, University of Maryland School of Medicine Donna Spiegelman, Yale School of Public Health Molin Wang, Harvard T.H. Chan School of Public Health
10:10 AM	Floor Discussion

235 !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-144C
Recent Advancements in Nonparametric and Semiparametric Methodologies and Their Applications — Topic Contributed Papers
ENAR, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Trinetri Ghosh, University of Wisconsin-Madison
Chair(s): Shubhadeep Chakraborty, University of Washington
8:35 AM	Multiply Robust Estimators in Longitudinal Studies with Missing Data Under Control-Based Imputation Siyi Liu, North Carolina State University; Shu Yang, North Carolina State University; Yilong Zhang, Merck & Co., Inc.; Frank G. Liu, Merck & Co., Inc
8:55 AM	Optimal Estimation of Average Treatment Effect on the Treated Under Endogeneous Treatment Assignment Trinetri Ghosh, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison; Jiwei Zhao, University of Wisconsin-Madison
9:15 AM	Efficient Surrogate Assisted Inference for Patient-Reported Outcome with Complex Missing Mechanism Muxuan Liang, University of Florida; Jaeyoung Park, University of Florida; Xiang Zhong, University of Florida; Yingqi Zhao, Fred Hutchinson Cancer Research Center
9:35 AM	Causal Effect Estimation in Graphical Models with Unmeasured Confounders Rohit Bhattacharya, Williams College; Razieh Nabi, Emory University; Ilya Shpitser, Johns Hopkins University
9:55 AM	Estimating Longitudinal Causal Effects of Air Pollution Exposures Using Marginal Structural Models Daniel Malinsky, Columbia University
10:15 AM	Floor Discussion

241	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-140B
SPEED: Statistics in Social Sciences and Survey Research Part 1 — Contributed Speed
Business and Economic Statistics Section, Survey Research Methods Section, Quality and Productivity Section, ENAR, Government Statistics Section, Health Policy Statistics Section, Lifetime Data Science Section
Chair(s): Jiaxin Hu, University of Wisconsin-Madison
8:35 AM	Dynamic Models for Corporate Competitiveness of Global Health Care Industry with Mixed Effects Mingzhao Hu, University of California, Santa Barbara; Lingdi Zhao, Ocean University of China; Danlei Feng, Ocean University of China
8:40 AM	A Mixed Model Approach for Dynamic Trade Networks Burcu Eke Rubini, University of New Hampshire; Loris Rubini, University of New Hampshire
8:45 AM	Using R Packages for Weekly Seasonal Adjustment Brian Carl Monsell, Bureau of Labor Statistics
8:50 AM	Privacy Secure Aggregation of the Individual Models into a Federated Model with Bayesian MCMC Bootstrapping Eugene Yankovsky, EY; Ana Yankovsky, Inuitive Surgical
8:55 AM	The Inequality Process (IP) as Statistical Mechanics: How the IP’s Internal Model Enables Symmetries, Frame Independence, and the Search for the IP's Lagrangian Analogue John Angle, The Inequality Process Institute
9:00 AM	Adapting COVID-19 Early Release Data to Determine Impact of Opioid Use in Hospital Emergency Departments Salah Shaikh, National Center for Health Statistics (NCHS) - CDC
9:05 AM	Comparing Methods for Weighting to Extend Inferences from a Collection of Trials Nicole Schnitzler, The Ohio State University; Eloise E Kaizar, The Ohio State University
9:10 AM	Examining the Effects of Contamination Due to School Mobility on Efficacy of Stepped Wedge Designs Meredith McCormack-Mager, The Ohio State University; Abigail Shoben, The Ohio State University
9:15 AM	Results of a Push-to-Web Protocol in a Survey of Commercial Buildings Katie Lewis, Energy Information Administration; Sarah Grady, Energy Information Administration; Lawrence Chrishelle, Energy Information Administration
9:20 AM	Using Effect Sizes to Quantify the Difference Between Survival Functions Huan Wang, Division of Biometrics IX, OB/OTS/CDER, FDA
9:30 AM	Model-Robust Experimentation Strategy for Estimation of Expensive Black-Box Functions with Mixed Quantitative and Qualitative Factors Gautham Sunder, Carlson School of Management; Christopher Nachtsheim, Carlson School of Management
9:35 AM	A Statistical Model Predicting Final Yield During Data Collection Rui Jiao, WESTAT; Daniel Guzman, META; Sabrina Zhang, Westat; Andrea Piesse, WESTAT
9:40 AM	WITHDRAWN An Empirical Evaluation of Probabilistic File Linking Techniques Gauri Kamat, Brown University; Roee Gutman, Brown University
9:45 AM	Extending MRP to Incorporate Variables with Unknown Distributions Brittany Marie Alexander, Ipsos Public Affairs
9:50 AM	Predicting Call Sequence Length in the Telephone Mode Using Prediction Algorithms Xinyu Zhang, University of Michigan; James Wagner, University of Michigan
9:55 AM	A Modified Proportional Allocation Sampling Method for the Study of Respirator Use and Practices in U.S. Private Industries Danny Friel, U.S. Bureau of Labor Statistics; Michelle Myers, U.S. Bureau of Labor Statistics; Dee Zamora, U.S. Bureau of Labor Statistics; Xingyou Zhang, U.S. Bureau of Labor Statistics; Katherine N. Yoon, National Institute for Occupational Safety and Health; Megan Casey, National Institute for Occupational Safety and Health; Emily J. Haas, National Institute for Occupational Safety and Health
10:00 AM	Synthetic Data Generation for Complex Surveys Shirley Mathur, Duke University; Jerome P. Reiter, Duke University
10:05 AM	WITHDRAWN Demographic Edit and Imputation for Multilevel Data from the FBI’s National Incident Based Reporting System Philip Lee, RTI; Amang Sukasih, RTI; Dan Liao, RTI; Marcus Berzofsky, RTI International; Alexia Cooper, RTI

10:10 AM	Floor Discussion

256 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-143A
Statistical Advances for Heterogeneous Transcriptomics Data — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Jiebiao Wang, University of Pittsburgh
Chair(s): George Tseng, Univertisy of Pittsburgh
10:35 AM	Gaussian Graphical Model-Based Heterogeneity Analysis via Penalized Fusion Shuangge Ma, Yale University
11:00 AM	Accounting for Cell Type Hierarchy Improves Cell Type-Specific Differential Analyses Hao Wu, Emory University; Luxiao Chen, Emory University
11:25 AM	Global Network Learning Using Augmented High-Dimensional Graphical Lasso Model Katerina Kechris, University of Colorado Anschutz Medical Campus; Yonghua Zhuang, University of Colorado Anschutz Medical Campus
11:50 AM	On Statistical Methods for Data Harmonization in Molecular Prognostication Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University
12:15 PM	Floor Discussion

259 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-143B
Modern Statistical Methods for Structured Discovery in Large Biomedical Data — Invited Papers
ENAR, Biometrics Section, Section on Bayesian Statistical Science
Organizer(s): Veera Baladandayuthapani, University of Michigan
Chair(s): Veera Baladandayuthapani, University of Michigan
10:35 AM	Identifying Unobserved Mediators of High-Dimensional Phenotypes Using Empirical Bayes Matrix Decomposition Jean Morrison, University of Michigan; Jason Willwerscheid, University of Chicago; Matthew Stephens, University of Chicago; Xin He, University of Chicago
11:00 AM	Bayesian Cross-Study Factor Regression Approach Roberta De Vito, Brown University
11:25 AM	Bayesian Sparse Modeling to Identify High-Risk Subgroups Christine B. Peterson, University of Texas MD Anderson Cancer Center
11:50 AM	Bayesian Causal Discovery for Purely Observational Genomic Data Yang Ni, Texas A&M University
12:15 PM	Floor Discussion

266 *	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-202B
Causal Inference in Neuroimaging and Radiology — Topic Contributed Papers
Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Benjamin Risk, Emory University
Chair(s): Benjamin Risk, Emory University
10:35 AM	Multimodal Data Integration via Mediation Analysis with High-Dimensional Exposures and Mediators Yi Zhao, Indiana University; Lexin Li, University of California, Berkeley
10:55 AM	Causal Effects of Multidimensional Exposures Razieh Nabi, Emory University; Ilya Shpitser, Johns Hopkins University
11:15 AM	Quantitative Susceptibility Maps in Multiple Sclerosis Lesions Elizabeth Sweeney, University of Pennsylvania
11:35 AM	Challenges and Opportunities of Using Interleaved TMS/fMRI Data to Personalize Treatment for Depression Kristin Linn, University of Pennsylvania
11:55 AM	Effects of Transcranial Magnetic Stimulation on Functional Connectivity Michael Sobel, Columbia University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
12:15 PM	Floor Discussion

290	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
Chair(s): Gyuhyeong Goh, Kansas State University
26:	Bayesian Additive Regression Trees Model for Causal Inference with High-Dimensional Potential Confounders Chanmin Kim, SungKyunKwan University; Mauricio Tec, University of Texas, Austin; Corwin Zigler, University of Texas at Austin
27:	Sensitivity Analysis for Non-Ignorable Missing Data in Sequential Multiple Assignment Randomized Trials Aparajita Sur, University of Minnesota; David Vock, University of Minnesota
28:	Adaptive Learning of Relevant Questions from a Questionnaire via Best Subset Algorithms Leyao Zhang, University of Michigan, Ann Arbor; Wen Wang , University of Michigan, Ann Arbor; Mengtong Hu, University of Michigan, Ann Arbor; Alan Baptist, University of Michigan, Ann Arbor; Peter Song, University of Michigan
29:	A Parsimonious Approach to Transfer Learning with Uncertainty Quantification Jimmy Hickey, North Carolina State University; Jonathan P Williams, North Carolina State University; Emily Charlotte Hector, North Carolina State University
30:	IoSearch: A Tool for Searching Disease-Associated Interacting Omics Deo Kumar Srivastava, St. Jude Children's Research Hospital; Sarmistha Research Das, St. Jude Children's Research Hospital
31:	Power Calculation for Detecting Interaction Effect in Stepped-Wedge Cluster Randomized Trials Deukwoo Kwon, Icahn School of Medicine at Mount Sinai; Chen Yang, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
32:	The Impact of Time Interval Choice on Inference Using G-Methods Adrienne O'Donnell, Boston University School of Public Health; Sara Lodi, Boston University School of Public Health
33:	Bayesian Additive Regression Trees Model for Causal Inference with High-Dimensional Potential Confounders Chanmin Kim, SungKyunKwan University; Mauricio Tec, University of Texas, Austin; Corwin Zigler, University of Texas at Austin

294	Tue, 8/9/2022, 10:30 AM - 11:15 AM	CC-Hall D
SPEED: Statistics in Social Sciences and Survey Research Part 2 — Contributed Poster Presentations
Business and Economic Statistics Section, Survey Research Methods Section, Quality and Productivity Section, ENAR, Government Statistics Section, Health Policy Statistics Section, Lifetime Data Science Section
Chair(s): Jiaxin Hu, University of Wisconsin-Madison
01:	Dynamic Models for Corporate Competitiveness of Global Health Care Industry with Mixed Effects Mingzhao Hu, University of California, Santa Barbara; Lingdi Zhao, Ocean University of China; Danlei Feng, Ocean University of China
02:	A Mixed Model Approach for Dynamic Trade Networks Burcu Eke Rubini, University of New Hampshire; Loris Rubini, University of New Hampshire
03:	Using R Packages for Weekly Seasonal Adjustment Brian Carl Monsell, Bureau of Labor Statistics
04:	Privacy Secure Aggregation of the Individual Models into a Federated Model with Bayesian MCMC Bootstrapping Eugene Yankovsky, EY; Ana Yankovsky, Inuitive Surgical
05:	The Inequality Process (IP) as Statistical Mechanics: How the IP’s Internal Model Enables Symmetries, Frame Independence, and the Search for the IP's Lagrangian Analogue John Angle, The Inequality Process Institute
06:	Adapting COVID-19 Early Release Data to Determine Impact of Opioid Use in Hospital Emergency Departments Salah Shaikh, National Center for Health Statistics (NCHS) - CDC
07:	Comparing Methods for Weighting to Extend Inferences from a Collection of Trials Nicole Schnitzler, The Ohio State University; Eloise E Kaizar, The Ohio State University
08:	Examining the Effects of Contamination Due to School Mobility on Efficacy of Stepped Wedge Designs Meredith McCormack-Mager, The Ohio State University; Abigail Shoben, The Ohio State University
09:	Results of a Push-to-Web Protocol in a Survey of Commercial Buildings Katie Lewis, Energy Information Administration; Sarah Grady, Energy Information Administration; Lawrence Chrishelle, Energy Information Administration
10:	Using Effect Sizes to Quantify the Difference Between Survival Functions Huan Wang, Division of Biometrics IX, OB/OTS/CDER, FDA
11:	Model-Robust Experimentation Strategy for Estimation of Expensive Black-Box Functions with Mixed Quantitative and Qualitative Factors Gautham Sunder, Carlson School of Management; Christopher Nachtsheim, Carlson School of Management
12:	Specifying Prior Distributions in Reliability Applications Colin Lewis-Beck, Eli Lilly; William Meeker, Iowa State; Qinglong Tian, University of Wisconsin ; Jarad Niemi, Iowa State
13:	A Statistical Model Predicting Final Yield During Data Collection Rui Jiao, WESTAT; Daniel Guzman, META; Sabrina Zhang, Westat; Andrea Piesse, WESTAT
14:	WITHDRAWN An Empirical Evaluation of Probabilistic File Linking Techniques Gauri Kamat, Brown University; Roee Gutman, Brown University
15:	Extending MRP to Incorporate Variables with Unknown Distributions Brittany Marie Alexander, Ipsos Public Affairs
16:	Predicting Call Sequence Length in the Telephone Mode Using Prediction Algorithms Xinyu Zhang, University of Michigan; James Wagner, University of Michigan
17:	A Modified Proportional Allocation Sampling Method for the Study of Respirator Use and Practices in U.S. Private Industries Danny Friel, U.S. Bureau of Labor Statistics; Michelle Myers, U.S. Bureau of Labor Statistics; Dee Zamora, U.S. Bureau of Labor Statistics; Xingyou Zhang, U.S. Bureau of Labor Statistics; Katherine N. Yoon, National Institute for Occupational Safety and Health; Megan Casey, National Institute for Occupational Safety and Health; Emily J. Haas, National Institute for Occupational Safety and Health
18:	Synthetic Data Generation for Complex Surveys Shirley Mathur, Duke University; Jerome P. Reiter, Duke University
19:	WITHDRAWN Demographic Edit and Imputation for Multilevel Data from the FBI’s National Incident Based Reporting System Philip Lee, RTI; Amang Sukasih, RTI; Dan Liao, RTI; Marcus Berzofsky, RTI International; Alexia Cooper, RTI

223591	Tue, 8/9/2022, 12:30 PM - 3:30 PM	M-Supreme Court
ENAR RAB/RECOM Luncheon Meeting — Other ICW
ENAR
Organizer(s): Tanya P. Garcia, University of North Carolina at Chapel Hill

306 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-150B
Statistical Challenges in Large-Scale Imaging Studies — Invited Papers
Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Hongtu Zhu, University of North Carolina at Chapel Hill
Chair(s): Yue Wang, Arizona State University
2:05 PM	Understanding Brain Health from a Multi-Organ Perspective with MRI Data Bingxin Zhao, Purdue University; Hongtu Zhu, University of North Carolina at Chapel Hill
2:25 PM	Modeling Cortical Brain Network Activity Through Concurrent EEG-FNIRS Marco Pinto-Orellana, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology
2:45 PM	Prediction Models and Pipelines for Biobank-Scale Imaging Data Hongtu Zhu, University of North Carolina at Chapel Hill; Tengfei Li, The University of North Carolina at Chapel Hill
3:05 PM	The Role of Statistics in Large Complex Neuroimaging Studies Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
3:25 PM	Enhancing the Reliability of Brain Connectomics in Neuroimaging Studies Ying Guo, Emory University
3:45 PM	Floor Discussion

312 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-203AB
What We Know About What We Don’t Know: Overcoming Incomplete Data in Practice — Invited Papers
ENAR, Caucus for Women in Statistics, Section on Statistics in Epidemiology
Organizer(s): Sarah C. Lotspeich, University of North Carolina at Chapel Hill
Chair(s): Marissa C. Ashner, University of North Carolina at Chapel Hill
2:05 PM	Missing Data in the Baseline Health Surveys of the All of Us Research Program and the Opportunity from Multiple Information Sources Qingxia Chen, Vanderbilt University Medical Center; Robert M Cronin, The Ohio State University; Xiaoke Feng, Vanderbilt University Medical Center; Lina Sulieman, Vanderbilt University Medical Center; Brandy Mapes, Vanderbilt University Medical Center; Shawn Garbett, Vanderbilt University Medical Center; Ashley Able, Vanderbilt University Medical Center; Rebecca Johnston, Vanderbilt University Medical Center; Mick P. Couper, University of Michigan; Brian K Ahmedani, Henry Ford Health System
2:25 PM	Evaluation of Propensity Score-Calibration and Multiple Imputation for Missing Confounder Data in EHR-Based Comparative Effectiveness Research Rebecca Hubbard, University of Pennsylvania; Daniel Vader, University of Pennsylvania; Ronac Mamtani, University of Pennsylvania
2:45 PM	New Frontiers for Conditional Mean Imputation: Overcoming Censored Predictors to Model the Progression of Huntington's Disease Sarah C. Lotspeich, University of North Carolina at Chapel Hill; Kyle F. Grosser, University of North Carolina at Chapel Hill; Tanya P. Garcia, University of North Carolina at Chapel Hill
3:05 PM	Accounting for Misclassification Between Competing Events in Causal Cumulative Incidence Functions Jessie K Edwards, UNC Chapel Hill
3:25 PM	Discussant: Tanya P. Garcia, University of North Carolina at Chapel Hill
3:45 PM	Floor Discussion

319 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-207B
Innovative Statistical and Machine Learning Methods for Wearable Device Data — Topic Contributed Papers
WNAR, Section on Medical Devices and Diagnostics, ENAR
Organizer(s): Chongzhi Di, Fred Hutchinson Cancer Research Center; Ken Wang, Fred Hutchinson Cancer Research Center
Chair(s): Jingjing Zou, University of California at San Diego (UCSD)
2:05 PM	Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding Loki Natarajan, University of California at San Diego (UCSD); Jingjing Zou, University of California at San Diego (UCSD); Yiren Wang, University of California San Diego
2:25 PM	Considerations to Address Missing Data When Deriving Clinical Trial Endpoints from Digital Health Technologies Junrui Di, Pfizer Inc
2:45 PM	Identifying Different Patterns Across Multiple Activity Behaviors Using Latent Class Analysis: A Compositional Data Approach Annie Green Howard, UNC - Chapel Hill; Fang Wen, UNC - Chapel Hill; Chongzhi Di, Fred Hutchinson Cancer Research Center; Julie Buring, Harvard Medical School; Eric Shiroma, National Institute on Aging; Michael Kebede, UNC - Chapel HIll; Kelly Evenson, UNC - Chapel Hill; I-Min Lee, Harvard T.H. Chan School of Public Health
3:05 PM	Calibration of an Accelerometer Activity Index Among Older Women and Its Association with Cardiometabolic Risk Factors Guangxing Wang, Fred Hutchinson Cancer Research Center; Sixuan Wu, Inspur; Kelly Evenson, UNC - Chapel Hill; Ilsuk Kang, Fred Hutchinson Cancer Research Center; Michael LaMonte, University at Buffalo – SUNY; John Bellettiere, UCSD; I-Min Lee, Harvard T.H. Chan School of Public Health; Annie Green Howard, UNC - Chapel Hill; Andrea LaCroix, UCSD; Chongzhi Di, Fred Hutchinson Cancer Research Center
3:25 PM	Discussant: Chongzhi Di, Fred Hutchinson Cancer Research Center
3:45 PM	Floor Discussion

320 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-202B
Innovative Approaches for Modeling Time-to-Event Data in the Presence of Competing Risks and/or Time-Varying Covariates — Topic Contributed Papers
Biometrics Section, Section on Statistics in Epidemiology, ENAR
Organizer(s): Mulugeta Gebregziabher, Medical University of South Carolina; Ralph Ward, Heath Equity and Rural Outreach Innovation Center, Ralph H. Johnson VAMC
Chair(s): Valerie Durkalski-Mauldin, Medical University of South Carolina
2:05 PM	Weighted Least-Squares Regression with Competing Risks Data Dipankar Bandyopadhyay, Virginia Commonwealth University; Sangbum Choi, Korea University, Seoul, South Korea; Taehwa Choi, Korea University; Hyunsoon Choi, National Cancer Center, South Korea
2:25 PM	Incorporating Cross-Sectional Information into a Joint Model of Longitudinal and Survival Data Using a Power Prior Juned Siddique, Northwestern University Feinberg School of Medicine; Michael Daniels, University of Florida; Hongyan Ning, Northwestern University Feinberg School of Medicine; Norrina Allen, Northwestern University Feinberg School of Medicine; John Wilkins, Northwestern University Feinberg School of Medicine; Donald Lloyd-Jones, Northwestern University Feinberg School of Medicine
2:45 PM	Modeling Severe Liver Disease Outcomes and History of FIB-4 in the Presence of Competing Risks and Time-Varying Covariates Mulugeta Gebregziabher, Medical University of South Carolina; Andrew D Schreiner, MUSC; Jingwen Zhang, MUSC; David G Koch, MUSC; Patrick D Mauldin, MUSC; William P Moran, MUSC
3:05 PM	Multinomial Logistic Regression and Prediction Accuracy for Interval-Censored Competing Risks Data Yu Cheng, University of Pittsburgh; Yongli Shuai, University of Pittsburgh; Jong H Jeong, University of Pittsburgh
3:25 PM	Prediction Performance Statistics for Competing Risk Cox Models with Time-Varying Covariates Ralph Ward, Heath Equity and Rural Outreach Innovation Center, Ralph H. Johnson VAMC; Mulugeta Gebregziabher, Medical University of South Carolina
3:45 PM	Floor Discussion

322 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-143A
Novel Statistical Methods and Applications in Precision Mental Health — Topic Contributed Papers
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Eva Petkova, NYU School of Medicine
2:05 PM	Predicting Antidepressant Response Rate Profiles from High-Dimensional and Multimodal Data Using Ensemble Methods Adam Ciarleglio, George Washington University
2:25 PM	Precision Health Treatment Decision Rules Optimization in Mental Health Using Longitudinal Outcome Trajectories Thaddeus Tarpey, New York University; Lanqiu Yao, New York University School of Medicine
2:45 PM	Bayesian Index Models for Heterogeneous Treatment Effects Hyung G. Park, NYU School of Medicine; Danni Wu, NYU School of Medicine; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, New York University; R. Todd Ogden, Columbia University
3:05 PM	Covariate-Adjusted Value-Guided Subgroup Identification via Boosting Jinchun Zhang, Merck & Co.; Pingye Zhang, Beigene; Junshui Ma, Merck & Co.; Yue Shentu, Daiichi Sankyo Inc.
3:45 PM	Floor Discussion

323 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-201
Adaptive Enrichment Designs in Clinical Trials — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Daniel Zhao, University of Oklahoma
Chair(s): Daniel Zhao, University of Oklahoma
2:05 PM	Adaptive Designs with Modified Testing Hierarchy at the Interim George Kordzakhia, Astra Zeneca; Cassie Dong, Takeda ; Eiji Ishida, Sunovion
2:25 PM	A Bayesian Group Sequential Enrichment Design with Adaptive Regression of Response and Survival Time on Baseline Biomarkers Presentation Peter Thall, The University of Texas MD Anderson Cancer Center; Yeonhee Park, University of Wisconsin-Madison; Suyu Liu, The University of Texas MD Anderson Cancer Center; Ying Yuan , the University of Texas MD Anderson Cancer Center
2:45 PM	Overview of Existing Methods for Biomarker-Driven Adaptive Designs Ilya Lipkovich, Eli Lilly and Company; Sarah Johnston, Bristol-Myers Squibb; Alex Dmitrienko, Mediana, Inc; Daniel Zhao, University of Oklahoma
3:05 PM	Decision Theoretic Approaches for the Design of Adaptive Enrichment and Umbrella Trials Martin Posch, Medical University of Vienna
3:25 PM	Discussant: Brian Wiens, ACELYRIN, INC.
3:45 PM	Floor Discussion

327 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-143C
On Surrogate Modeling of Emerging Issues in Physical and Engineering Simulators — Topic Contributed Papers
Section on Physical and Engineering Sciences, ENAR, Section on Bayesian Statistical Science
Organizer(s): Bledar Alex Konomi, University of Cincinnati
Chair(s): Emily L Kang, University of Cincinnati
2:05 PM	A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
2:25 PM	Multifidelity Karhunen-Loeve Expansion Surrogate Models for Uncertainty Propagation Xun Huan, University of Michigan; Aniket Jivani, University of Michigan; Cosmin Safta, Sandia National Laboratories
2:45 PM	Dimension Reduction for Gaussian Process Models via Convex Combination of Kernels Lulu Kang, Illinois Institute of Technology
3:05 PM	B-DeepONet: An Enhanced Bayesian DeepONet for Solving Noisy Parametric PDEs Using Accelerated Replica Exchange SGLD Guang Lin, Purdue University; Christian Moya, Purdue University; Zecheng Zhang, Purdue University
3:25 PM	Emulating the Magnitude and Location of the Stormwise Maximum Surge Level Whitney Huang, Clemson University; Taylor Asher, University of North Carolina at Chapel Hill
3:45 PM	Floor Discussion

328 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-151A
Recent Development in Bayesian Dynamic Borrowing with Application to Clinical Trials — Topic Contributed Panel
Biopharmaceutical Section, Section on Bayesian Statistical Science, ENAR
Organizer(s): Lei Nie, U. S. FDA
Chair(s): Ming-Hui Chen, University of Connecticut
2:05 PM	Recent Development in Bayesian Dynamic Borrowing with Application to Clinical Trials
Panelists:	Ying Yuan , the University of Texas MD Anderson Cancer Center Margaret Gamalo , Pfizer Inc. Satrajit Roychoudhury, Pfizer Inc Hengrui Sun, FDA Ales Kotalik, AstraZeneca
3:40 PM	Floor Discussion

223589	Wed, 8/10/2022, 8:00 AM - 9:30 AM	M-Capitol Hill
ENAR 2023 Spring Meeting Planning Committee Meeting — Other ICW
ENAR
Organizer(s): Leslie McClure, Drexel University

360 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-206
New Areas in Complex High-Dimensional Data Analysis — Invited Papers
International Indian Statistical Association, IMS, ENAR
Organizer(s): Debashis Mondal, Washington University in St. Louis
Chair(s): Debashis Mondal, Washington University in St. Louis
8:35 AM	Phylogenetically Informed Methods for Microbiome Data Analysis Julia Fukuyama, Indiana University, Bloomington
9:00 AM	Two-Sample Tests for Inhomogeneous Random Graphs Bhaswar Bhattacharya, University of Pennsylvania
9:25 AM	Scalable Estimation of Microbial Co-Occurrence Networks with Variational Autoencoders James Morton, National Institute of Child Health and Development; Justin Silverman , Pennsylvania State University; Gleb Tikhonov, University of Helsinki; Harri Lähdesmäki, University of Aalto; Richard Bonneau, Simons Foundation
9:50 AM	Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood Presentation Bodhisattva Sen, Columbia University; Adityanand Guntuboyina, University of California Berkeley; Jake Soloff, University of California at Berkeley
10:15 AM	Floor Discussion

366 *	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-204B
New Advances in Integrative Learning for Multi-Group and Multi-View Data — Invited Papers
ENAR, Section on Statistical Learning and Data Science, International Indian Statistical Association
Organizer(s): Arkaprava Roy, University of Florida
Chair(s): Arkaprava Roy, University of Florida
8:35 AM	Single-Cell Multi-Omic Integration Using Sparse Multi-View Non-Negative Matrix Factorization with Graph Regularization Dorothy DeMore Ellis, University of Florida; Susmita Datta, University of Florida; Arkaprava Roy, University of Florida
9:00 AM	Integrative Regression and Factorization of Multi-Omics Multi-Cohort Data Eric F Lock, University of Minnesota
9:25 AM	Sparse and Integrative Principal Component Analysis for Multi-View Data Luo Xiao, North Carolina State University; Lin Xiao, North Carolina State University
9:50 AM	Statistical Approaches for Integrative Learning for Neuroimaging Data Suprateek Kundu, The University of Texas at MD Anderson Cancer Center
10:15 AM	Floor Discussion

372 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-101
Statistical Methods for Microbiome Data Analysis — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Shulei Wang, University of Illinois at Urbana-Champaign
Chair(s): Bo Yuan, University of Illinois at Urbana-Champaign
8:35 AM	Robust Differential Abundance Test in Compositional Data Presentation Shulei Wang, University of Illinois at Urbana-Champaign
8:55 AM	Subcommunity Learning and Dynamic Modeling for Microbiome Compositions Through the Logistic-Tree Normal Model Li Ma, Duke University; Patrick LeBlanc, Duke University; Morris Greenberg, University of Toronto; Zhuoqun Wang, Duke University
9:15 AM	Bias Resistant Modeling of Microbiome Relative Abundance Ni Zhao, Johns Hopkins University; Mo Li, Johns Hopkins University; Glen Satten, Emory University
9:35 AM	Conditional Randomization Testing for High-Dimensional and Compositional Microbiome Data Siyuan Ma, University of Pennsylvania; Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Lucas Janson, Harvard University
9:55 AM	A New Approach for Differential Abundance Analysis of Microbiome Compositional Data Jun Chen, Mayo Clinic
10:15 AM	Floor Discussion

381 !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-144B
Recent Advances in High-Dimensional Estimation and Inference Methods — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Emily Charlotte Hector, North Carolina State University; Lu Xia, University of Washington
Chair(s): Emily Charlotte Hector, North Carolina State University
8:35 AM	High-Dimensional Change-Point Detection Using Generalized Homogeneity Metrics Shubhadeep Chakraborty, University of Washington
8:55 AM	Theoretical Foundations of T-SNE for Visualizing High-Dimensional Clustered Data Rong Ma, Stanford University; Tony Cai, University of Pennsylvania
9:15 AM	Two-Sample Hypothesis Testing for Multiple-Network Data Yinqiu He, Columbia University
9:35 AM	Statistical Inference for Correlated Data with High-Dimensional Covariates Lu Xia, University of Washington; Ali Shojaie, University of Washington
9:55 AM	Debiased Inference on Heterogeneous Quantile Treatment Effects with Regression Rank-Scores Alexander Giessing, University of Washington; Jingshen Wang, UC Berkeley
10:15 AM	Floor Discussion

399 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-159AB
Pragmatic Innovations in Clinical Trial Designs: Key to Real Applications — Invited Papers
ENAR, WNAR, Biometrics Section
Organizer(s): Xiaoyun (Nicole) Li, BeiGene
Chair(s): Meihua Wang, Alkermes
10:35 AM	When Convention Meets Practicality: Pooled Analysis Testing Under the Two-Trial Paradigm Presentation Dong Xi, Gilead; Frank Bretz, Novartis
11:00 AM	Propensity-Score-Based Meta-Analytic Predictive Prior for Incorporating Real-World and Historical Data Jianchang Lin, Takeda Pharmaceuticals; Meizi Liu, University of Chicago; Veronica Bunn, Takeda Pharmaceuticals; Bradley Hupf, Takeda Pharmaceuticals; Junjing Lin, Takeda Pharmaceuticals
11:25 AM	Application of Group Sequential Methods to 2-in-1 Design Cong Chen, Merck & Co., Inc.
11:50 AM	Discussant: Sue-Jane Wang, FDA
12:15 PM	Floor Discussion

402 *	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-154B
Advances in Statistical Methods for Wearable and Mobile Health Data Analysis — Invited Papers
Biometrics Section, Section on Nonparametric Statistics, ENAR
Organizer(s): Ekaterina Smirnova, Virginia Commonwealth University
Chair(s): Ekaterina Smirnova, Virginia Commonwealth University
10:35 AM	Functional Data Methods for Wearable Device Data Jeff Goldsmith, Columbia University
10:55 AM	Associating Objectively Measured Multiday Diurnal Activity Patterns with Scalar Outcomes Andrew Leroux, University of Colorado
11:15 AM	Fast Multilevel Functional Principal Component Analysis Erjia Cui, Johns Hopkins University ; Ruonan Li, North Carolina State University; Ciprian M. Crainiceanua, Johns Hopkins University; Luo Xiao, North Carolina State University
11:35 AM	Treatment Effect Estimation of Multiday Activity Distribution Under Random Assignments Jingru Zhang, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Hongzhe Lee, University of Pennsylvania
11:55 AM	Optimal Adaptive Interventions with Unobserved Treatment Fatigue Joseph Lawson, Duke University; Eric Laber, Duke University; Min Qian, Columbia Universityh
12:15 PM	Floor Discussion

406 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-152B
Leo Breiman’s Two Cultures: Introspection, Debate, and Discussion 20 Years Later — Invited Panel
Section on Statistics in Epidemiology, ENAR, IMS
Organizer(s): Nandita Mitra, University of Pennsylvania
Chair(s): Nandita Mitra, University of Pennsylvania
10:35 AM	Leo Breiman’s Two Cultures: Introspection, Debate, and Discussion 20 Years Later
Panelists:	Mike Baiocchi, Stanford University Andrew Gelman, Columbia University Debashis Ghosh, Colorado School of Public Health Arman Oganisian, Brown University Ani Eloyan, Brown University Elizabeth Ogburn, Johns Hopkins University Anna Neufeld, University of Washington
12:10 PM	Floor Discussion

460 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-150A
Confronting Global Climate Change — Invited Papers
ASA Advisory Committee on Climate Change Policy, ENAR
Organizer(s): Dorit Hammerling, Colorado School of Mines
Chair(s): Joe Guinness, Cornell University
2:05 PM	Climate Model Validation with Respect to Extremes Sooin Yun, UIUC; Bo Li, University of Illinois at Urbana-Champaign; Xianyang Zhang, Texas A&M university
2:30 PM	Statistical Challenges in Maintaining Remote Sensing Earth System Data Records Jonathan Hobbs, Jet Propulsion Laboratory, California Institute of Technology; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology; Eric Fetzer, Jet Propulsion Laboratory, California Institute of Technology; Michael Gunson, Jet Propulsion Laboratory, California Institute of Technology; Hai Nguyen, Jet Propulsion Laboratory, California Institute of Technology; Otto Lamminpää, Jet Propulsion Laboratory, California Institute of Technology; Joaquim Teixeira, Jet Propulsion Laboratory, California Institute of Technology
2:55 PM	Changes in the United States' Tropical Cyclone Environment Robert B Lund, University of California - Santa Cruz; Thomas Fisher, The University of Miami - Ohio; Michael Robbins, RAND Corporation
3:20 PM	Discussant: Richard Smith, University of North Carolina Chapel Hill
3:45 PM	Floor Discussion

476 !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-201
Beyond Propensity Scores: Novel Techniques in Utilizing Real-World Data in Clinical Trials — Topic Contributed Papers
ENAR, Health Policy Statistics Section, Biometrics Section
Organizer(s): Yuanyuan Bian, Eli Lilly and Company
Chair(s): Ran Liao, Eli Lilly and Company
2:05 PM	Bayesian Divide-and-Conquer Propensity Score-Based Approaches for Leveraging Real-World Data in Single-Arm Clinical Trials Eric Baron, University of Connecticut; Jian Zhu, Servier Pharmaceuticals; Sammi Tang, Servier Pharmaceuticals; Ming-Hui Chen, University of Connecticut
2:25 PM	Integrating Real-World Data and Clinical Trial Results Using Survival Data Reconstruction and Marginal Moment-Balancing Weights Kylie Getz, Rutgers School of Public Health; Ronac Mamtani, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania
2:45 PM	Power Priors with Entropy Balancing Weights in Data Augmentation of Partially Controlled Randomized Trials Guanglei Yu, Eli Lilly and Company; Yuanyuan Bian, Eli Lilly and Company; Margaret Gamalo , Pfizer Inc.
3:05 PM	Challenges and Potential Strategies Utilizing External Data for Efficacy Evaluation in Small-Sized Clinical Trials Feiran Jiao, FDA; Yeh-Fong Chen, Food and Drug Administration
3:25 PM	Matching Within a Hybrid RCT/RWD: Framework on Associated Causal Estimands Guanglei Yu, Eli Lilly and Company; Margaret Gamalo , Pfizer Inc.; Junjing Lin, Takeda Pharmaceuticals
3:45 PM	Floor Discussion

482	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-156
Causal Inference for Dynamic Treatment and Mediation — Contributed Papers
ENAR
Chair(s): Duzhe Wang, Eli Lilly and Company
2:05 PM	Optimal Dynamic Treatment Regimes and Partial Welfare Ordering Presentation Sukjin Han, University of Bristol
2:20 PM	Non-Greedy Tree-Based Learning for Estimating Global Optimal Dynamic Treatment Decision Rules with Continuous Treatment Dosage Chang Wang, University of Michigan; Lu Wang, University of Michigan
2:35 PM	Causal Mediation in Weight Management Trials Using Bayesian Nonparametrics Woojung Bae, University of Florida; Michael Daniels, University of Florida
2:50 PM	A Novel Causal Mediation Analysis Approach for Zero-Inflated Count Mediators Meilin Jiang, University of Florida; Zhigang Li, University of Florida
3:05 PM	Causal Mediation Analysis: Selection with Asymptotically Valid Inference Jeremiah Jones, University of Rochester; Ashkan Ertefaie, University of Rochester; Robert L Strawderman, University of Rochester
3:20 PM	Caution Against Inferring Directionality in Mendelian Randomization Sharon Lutz, Harvard Medical School; Christoph Lange, Harvard T.H. Chan School of Public Health
3:35 PM	Floor Discussion

494 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-151A
Advanced Developments in Methods and Algorithms for Modern Complex Imaging Data — Invited Papers
Section on Statistical Computing, Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Lily Wang, George Mason University; Shan Yu, University of Virginia
Chair(s): Xinyi Li, Clemson University
8:35 AM	Mixture of Multivariate Sparse Regressions Modeling for Oceanographic Flow Cytometry Data Jacob Bien, University of Southern California; Sangwon Hyun, University of Southern California; François Ribalet, University of Washington; Mattias Cape, University of Washington
9:00 AM	Generalized Liquid Association Analysis for Multimodal Data Integration Lexin Li, University of California, Berkeley; Jing Zeng, Florida State University; Xin Zhang, Florida State University
9:25 AM	Spline Smoothing of 3-D Geometric Data Shan Yu, University of Virginia; Xinyi Li, Clemson University; Yueying Wang, Columbia University; Guannan Wang, College of William and Mary; Lily Wang, George Mason University
9:50 AM	Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging Andrew Brown, Clemson University; Christopher McMahan, Clemson University; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
10:15 AM	Floor Discussion

497 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-201
Implementation of the Estimand Framework: Next Steps for Steady and Consistent Progress? — Invited Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Pilar Lim, Janssen Research & Development, LLC
8:35 AM	Lessons from Implementation of the Estimand Framework Across Projects Presentation Elena Polverejan, PhD, Janssen Research & Development, LLC
9:00 AM	Estimands and Complex Innovative Designs Presentation Frank Bretz, Novartis
9:25 AM	Discussant: Lei Nie, U. S. FDA
9:40 AM	Discussant: Catherine Njue, Health Products and Food Branch / Health Canada / Government of Canada
9:55 AM	Discussant: Yuki Ando, Pharmaceuticals and Medical Devices Agency (PMDA)
10:10 AM	Floor Discussion

499 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-203AB
Recent Issues in the Design and Analysis of Clinical Trials in Neurodegenerative Disorders — Invited Papers
ENAR, Mental Health Statistics Section, Biopharmaceutical Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Akiko Okamoto, ScD, Janssen Research & Development, LLC
8:35 AM	Identifying Disease-Modifying Treatments in Progressive Diseases Through Delayed Failure Time Models and Delayed Longitudinal Progression Models Suzanne Hendrix, Pentara; Newman Knowlton, Pentara; Nathaniel Hogan, Pentara; Jessie Johnson, Pentara; Samuel Dickson, Pentara
8:55 AM	A Case Study Evaluating Alternative Analysis Methods in Longitudinal Alzheimer’s Disease Study, with Variable Subject Follow-Up Yevgen Tymofyeyev, Janssen RD of J&J
9:15 AM	The Chronic Progressive Repeated Measures (CPRM) Model for Longitudinal Data Steven Edland, University of California San Diego
9:35 AM	Understanding and Accounting for Rapidly Progressing Patients in Alzheimer’s Clinical Trials Craig Mallinckrodt, Cortexyme
9:55 AM	Discussant: Barbara Wendelberger, PhD, Berry Consultants
10:15 AM	Floor Discussion

502	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-144B
Recent Developments in Modeling of Multivariate Functional Data — Invited Papers
Section on Statistical Learning and Data Science, Business and Economic Statistics Section, ENAR
Organizer(s): Mladen Kolar, The University of Chicago
Chair(s): Mladen Kolar, The University of Chicago
8:35 AM	Functional Graphical Models Lexin Li, University of California, Berkeley
8:55 AM	Bayesian Functional Graphical Models Lin Zhang, University of Minnesota; Veera Baladandayuthapani, University of Michigan; Quinton Neville, University of Minnesota; Karina Quevedo, University of Minnesota; Jeffrey Morris, University of Pennsylvania
9:15 AM	Quantifying Deviations from Separability in Space-Time Functional Processes Tim Kutta, Ruhr-University Bochum; Holger Dette, Ruhr University Bochum; Gauthier Dierickx, Ruhr-University Bochum
9:35 AM	Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions Presentation Qin Fang, London School of Economics; Shaojun Guo, Renmin University of China; Xinghao Qiao, London School of Economics
9:55 AM	Discussant: Samuel Wang, Cornell University
10:15 AM	Floor Discussion

506 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-206
Robust and Efficient Analysis of Complex Time-to-Event Data — Topic Contributed Papers
ENAR, Lifetime Data Science Section, Biometrics Section
Organizer(s): Lu Mao, University of Wisconsin-Madison
Chair(s): Tuo Wang, University of Wisconsin-Madison
8:35 AM	On Restricted Mean Time in Favor of Treatment Lu Mao, University of Wisconsin-Madison
8:55 AM	Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event Mouna Akacha , Novartis Pharma AG
9:15 AM	Summarizing the Duration of Response via RMST Lu Tian, Stanford University; Bo Huang, Pfizer Inc.; LJ Wei, Harvard
9:35 AM	Valid Inferences Based on Proportional Hazards Model for High-Dimensional, Interval-Censored Data Zhe Fei, UCLA; Gang Li, University of California, Los Angeles; Rui Yang, UCLA; Hua Zhou, UCLA
9:55 AM	Discussant: LJ Wei, Harvard
10:15 AM	Floor Discussion

511 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-207B
In Pursuit of Speed and Efficiency in New Drug Development: Statistical Designs at the Forefront of Pushing the Boundaries of Innovation — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, ENAR
Organizer(s): Junjing Lin, Takeda Pharmaceuticals
Chair(s): Margaret Gamalo , Pfizer Inc.
8:35 AM	Implications of Using Recurrent Episodes: Statistical Considerations in a Rare Disease Setting Hengrui Sun, FDA
8:55 AM	Incorporating External Information or Real-World Evidence into Adaptive Design with Sample Size Re-Estimation Ran Liao, Eli Lilly and Company; Junjing Lin, Takeda Pharmaceuticals; Margaret Gamalo , Pfizer Inc.
9:15 AM	Design and Analysis of Drop-The-Losers Studies Using Binary Endpoints in the Rare Disease Setting Ina Jazic, Vertex Pharmaceuticals; Xiaoyan Liu, Vertex Pharmaceuticals; Glen Laird, Vertex Pharmaceuticals
9:35 AM	A Bayesian Seamless Design for Phase 2 Early Signals of Efficacy and Dose-Ranging Studies with Historical/Virtual Placebo Controls Zhen Zhang, Pfizer Inc.; Vivek Pradhan, Pfizer Inc.; Yang Li, Pfizer Inc.
9:55 AM	Two-Stage Optimal Designs Based on Exact Variance for a Single-Arm Trial with Survival Endpoints Guogen Shan, University of Florida
10:15 AM	Floor Discussion

527 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-159AB
Novel Statistical Methods for Single-Cell Genomic Data — Invited Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Wei Vivian Li, University of California, Riverside
Chair(s): Miles Xi, Loyola University Chicago
10:35 AM	Individual-Level Differential Expression Analysis for Single Cell RNA-Seq Data Mengqi Zhang, University of Pennsylvania; Si Liu, Fred Hutchinson Cancer Research Center; Zhen Miao, University of Washington; Fang Han, University of Washington; Raphael Gottardo, Lausanne University Hospital; Wei Sun, Fred Hutchinson Cancer Research Center
11:00 AM	ScINSIGHT for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data Kun Qian, China University of Geosciences; Shiwei Fu, Rutgers, The State University of New Jersey; Hongwei Li, China University of Geosciences; Wei Vivian Li, University of California, Riverside
11:25 AM	An All-In-One Statistical Framework That Generates Realistic Single-Cell Omics Data and Infers Cell Heterogeneity Structure Presentation Jingyi Jessica Li, University of California, Los Angeles
11:50 AM	Robust Personalized Gene Co-Expression Network Construction from Single Cell RNA-Seq Data Sunduz Keles, University of Wisconsin, Madison; Shan Lu, University of Wisconsin, Madison
12:15 PM	Floor Discussion

533 !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-207A
Prediction and Inference in Statistical Machine Learning — Invited Papers
IMS, Royal Statistical Society, ENAR
Organizer(s): Tracy Ke, Harvard University
Chair(s): Lucas Janson, Harvard University
10:35 AM	Statistical Inference After Adaptive Sampling for Longitudinal Data Kelly Wang Zhang, Harvard University; Lucas Janson, Harvard University; Susan Murphy, Harvard University
11:00 AM	Optimal Estimation of Network Mixed Memberships Tracy Ke, Harvard University
11:25 AM	WITHDRAWN Adaptive Conformal Inference Under Distribution Shift Emmanuel Candès, Stanford University; Isaac Gibbs, Stanford University
11:50 AM	Understanding Deep Q-Learning Jianqing Fan, Princeton University; Zhaoran Wang, Northwestern University; Yuchen Xie, Northwestern University; Zhuoran Yang, Yale University
12:15 PM	Floor Discussion

534 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-158AB
Tradeoff Between Risks and Benefits When Transporting Model Under Distribution Shift — Invited Papers
ENAR, Section on Risk Analysis, Health Policy Statistics Section
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Jiwei Zhao, University of Wisconsin-Madison
10:35 AM	Learning by Combining Data from Multiple Sources: Causal Assumptions, Study Design, Sampling Properties, and Estimation Issa J. Dahabreh, Harvard University
11:00 AM	Some Results on Label Shift and Label Noise Zachary Chase Lipton, Carnegie Mellon University
11:25 AM	Generalizable Prediction of Ultrafine Particle Concentration Using Combined Multi-Site Measurements Prasad Patil, Boston University School of Public Health; Sean Mueller, Boston University School of Public Health; Neelakshi Hudda, Tufts University; John Durant, Tufts University; Jon Levy, Boston University School of Public Health; Kevin Lane, Boston University School of Public Health
11:50 AM	Leveraging Observational Outcomes to Improve the Generalizability of Experimental Results Melody Huang, University of California, Berkeley; Naoki Egami, Columbia University; Erin Hartman, University of California, Berkeley; Luke Miratrix, Harvard University
12:15 PM	Floor Discussion

539 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-206
Statisticians in the Reproducibility and Research Reform Movement — Invited Papers
Section on Statistical Consulting, Biometrics Section, ENAR
Organizer(s): Hormuzd Katki, National Cancer Institute
Chair(s): Parichoy Pal Choudhury, National Cancer Institute
10:35 AM	Assessing the fragility of study findings to differential misclassification in binary covariates and outcomes Ravi Varadhan, Johns Hopkins University; Hormuzd Katki, National Cancer Institute
11:00 AM	Defense Against the Dark Arts: The Potential, Progress, and Possible Pitfalls of Preregistration Tom E Hardwicke, University of Amsterdam
11:25 AM	Quantifying Uncertainty in Estimated P-Values and Confidence Interval Endpoints: Implications for Study Design and Interpretation Hormuzd Katki, National Cancer Institute
11:50 AM	The Multiplicity of Analysis Strategies Jeopardizes Replicability: Lessons Learned Across Disciplines Sabine Hoffmann , Ludwig-Maximilians-University Munich
12:15 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association