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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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

18 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-143C
New Models, Diagnostics, and Considerations in Evaluating Intervention and Policy Effects — Topic Contributed Papers
Health Policy Statistics Section, Biometrics Section, WNAR
Organizer(s): Maricela Cruz, Kaiser Permanente Washington Health Research Institute
Chair(s): Mary Ryan, Yale Center for Analytical Sciences
2:05 PM	No Free Lunch: A Noninferiority Approach to Model Assumption Tests Laura Hatfield, Harvard Medical School; Alyssa Bilinski, Brown University
2:25 PM	Assessing the Impact of Using County Versus State Level Outcomes Data in the Evaluation of State-Level Opioid Policies Beth Ann Ann Griffin, RAND Corporation; Elizabeth Stuart, Johns Hopkins University; Megan Schuler, RAND; Nabarun Dasgupta, Gillings School of Global Public Health; Rosalie Liccardo Pacula, University of Southern California, Los Angeles, CA 90089; David Powell, RAND
2:45 PM	Marginalized Three-Part Beta Interrupted Time Series Regression Models for Proportional Data Analysis Shangyuan Ye, Oregon Health and Science University
3:05 PM	A Mixed-Effects Interrupted Time Series Model for Assessing Complex Health Care Interventions Across Multiple Units Maricela Cruz, Kaiser Permanente Washington Health Research Institute ; Andrew Holbrook, UCLA Biostatistics; Daniel L Gillen, University of California Irvine
3:25 PM	A Parametric Bootstrapping Approach for Time Series Analysis in Large Claims Databases Fang Zhang, Harvard Pilgrim Health Care ; Meghan Mayhew, kaiser permanente center for health research; Frank Wharam, Duke University; Ladia Albertson-junkans, Kaiser Permanente Washington Health Research Institute; Arvind Ramaprasan, Kaiser Permanente Washington Health Research Institute
3:45 PM	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

102 !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-158AB
Insights into Counterfactual Estimand, with Application Toward Personalized Medicine — Topic Contributed Papers
WNAR
Organizer(s): Xinping Cui, University of California, Riverside
Chair(s): Hong Tian, BeiGene
8:35 AM	Insights into Counterfactual Estimand, with Application Toward Personalized Medicine Siyoen Kil, LSK Global PS
8:55 AM	Unanticipated Issues in Counterfactual Estimand with Implications in Randomized Controlled Trials Jason Hsu, The Ohio State University
9:15 AM	The ETZ Decomposition for Assessing Confirmability of Clinical Studies Szu-Yu Tang, Pfizer
9:35 AM	Discussant: Xinping Cui, University of California, Riverside
9:55 AM	Discussant: Bushi Wang, Boehringer Ingelheim Pharmaceuticals, Inc.
10:15 AM	Floor Discussion

107	Mon, 8/8/2022, 8:30 AM - 10:20 PM	CC-140A
SPEED: Statistical Methods, Computing, and Applications Part 1 — Contributed Speed
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics, WNAR
Chair(s): Rui Xie, University of Central Florida
8:35 AM	The Role of Berkson Paradox in Significance Testing Miodrag Lovric, Radford University
8:40 AM	The growclusters Package for R Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
8:45 AM	Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
8:50 AM	Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
8:55 AM	Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies Lynda Aouar, University of Northern Colorado
9:00 AM	A Comparison of Regression Discontinuity Effect Estimation for Small Samples Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
9:05 AM	Reliability for Binary and Ordinal Data in Forensics Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
9:10 AM	Approaching Supersaturated Screening as a Pilot Experiment Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
9:15 AM	Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
9:20 AM	W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
9:30 AM	Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
9:35 AM	Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model Swami Natarajan, The MITRE Corporation
9:40 AM	MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
9:50 AM	Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
9:55 AM	A Statistical Framework for Deepfake Detection Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
10:00 AM	Developing Logistic Regression for the High-Dimensional DNA Methylation Data Mohamed salem Milad, Arkansas State University
10:05 AM	A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
10:10 AM	Modeling Sparse Data Using MLE with Applications to Microbiome Data Hani Aldirawi, California State University San Bernardino

10:15 AM	Floor Discussion

121 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-152A
The WNAR Outstanding Impact Award and Lecture — Invited Papers
WNAR
Organizer(s): Ying Lu, Stanford University School of Medicine
Chair(s): Gary Chan, University of Washington
10:35 AM	Principles for Impactful Data Science and Statistics: Lessons Learned from Covid-19 Forecasting and Beyond Bin Yu, University of California, Berkeley
11:20 AM	Discussant: Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
11:30 AM	Discussant: Marc A. Suchard, UCLA
11:40 AM	Discussant: Ying Lu, Stanford University School of Medicine
11:50 AM	Discussant: Katerina Kechris, University of Colorado Anschutz Medical Campus
12:00 PM	Discussant: Hongyu Zhao, Yale University
12:10 PM	Floor Discussion

137 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-150A
Joint Modeling for Longitudinal and Survival Outcomes in Health Studies — Topic Contributed Papers
Section on Statistical Computing, WNAR, Biopharmaceutical Section
Organizer(s): Ying Lu, Stanford University School of Medicine
Chair(s): Ellen Snyder, Merck Research Laboratories
10:35 AM	Joint Model for Survival and Multivariate Sparse Functional Data with Application to a Study of Alzheimer's Disease Cai Li, St. Jude Children's Research Hospital; Luo Xiao, North Carolina State University; Sheng Luo, Duke University
10:55 AM	Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data, with Applications to Massive Biobank Data Presentation Shanpeng Li, UCLA; Gang Li, University of California, Los Angeles; Ning Li , UCLA; Hong Wang, Central South University; Jin Zhou, UCLA; Hua Zhou, UCLA
11:15 AM	A Robust Joint Model of Longitudinal Trajectories and Time-to-Event Data at Biobank Scale Hua Zhou, UCLA; Jin Zhou, UCLA; Gang Li, University of California, Los Angeles
11:35 AM	Joint Modeling in Presence of Informative Censoring in Palliative Care Studies Quran Wu, University of Florida; Michael Daniels, University of Florida; Zhigang Li, University of Florida
11:55 AM	Joint modeling of endpoints can be used to answer various research questions in randomized clinical trials Ruben van Eijk, University Medical Center Utrecht (UMCU), Utrecht, the Netherlands
12:15 PM	Floor Discussion

175 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-151B
Computational Methods for Complex Data Challenges — Invited Papers
Section on Statistical Computing, WNAR, Section on Statistical Graphics, Caucus for Women in Statistics
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
2:05 PM	Lagrangian Inference for Ranking Problems Ethan Fang, Duke University; Yue Liu, Harvard University; Junwei Lu, Harvard University
2:35 PM	Joint Matrix Decomposition Regression for Supervised Multi-Omics Data Integration Yue Wang, Arizona State University; Tim Randolph, Fred Hutch Cancer Center; Jing Ma, Fred Hutch Cancer Center; Ali Shojaie, University of Washington
3:05 PM	Delphi's COVIDcast Project: Lessons Learned Building Statistical Software in Real Time Alex Reinhart, Carnegie Mellon University
3:35 PM	Floor Discussion

217 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-150B
Theory and Algorithms for Adaptive Clinical Trial Design with Multiple Objectives — Invited Papers
WNAR, International Chinese Statistical Association, Biopharmaceutical Section
Organizer(s): Ying Lu, Stanford University School of Medicine
Chair(s): Ying Lu, Stanford University School of Medicine
8:35 AM	Grammar of Group Sequential Design Presentation Keaven M Anderson, Merck & Co., Inc.; Yilong Zhang, Merck & Co., Inc.; Nan Xiao, Merck & Co., Inc.; Yujie Zhao, Merck & Co., Inc.
9:00 AM	Tight, Rigorous, and Automated Type I Error Proofs with Simulation Michael Benjamin Sklar, Stanford University
9:25 AM	Optimizing Patient Enrollment in Global Clinical Trials by Metaheuristics Weng Kee Wong, UCLA; Mitchell Schepps, UCLA; Austin Matt, Amgen; Vlad Anisimov, Amgen
9:50 AM	Multi-Objective Approach to Assist in Selection of Efficient Clinical Trial Operation Design with Respect to Minimizing Expected Recruitment Time and the Geographic Site Footprint Austin Matt, Amgen; Vlad Anisimov, Amgen
10:15 AM	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

365 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-207B
Causal Integration of Randomized Clinical Trials and Real-World Data: Challenges and Opportunities — Invited Papers
WNAR, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): Ting Ye, University of Washington
Chair(s): Yanyao Yi, Eli Lilly and Company
8:35 AM	Real-World Evidence: What’s in a Name? John Concato, Food and Drug Administration
8:55 AM	Counterfactual Controls for HIV Prevention Trials Deborah Donnell, Fred Hutchinson Cancer Research Center; Fei Gao, Fred Hutchinson Cancer Research Center
9:15 AM	Combining Randomized Clinical Trials and Observational Studies: An Anchored Transfer Learning Approach Ting Ye, University of Washington
9:35 AM	Improving the Power of Randomized Trials with Auxiliary Data in Education Research Johann A Gagnon-Bartsch, University of Michigan; Adam Sales, Worcester Polytechnic Institute
9:55 AM	Prognostic Covariate Adjustment: A Novel Method to Reduce Trial Sample Sizes While Controlling Type I Error David Walsh, Unlearn.AI; David Miller, Unlearn.AI; Diana Hall, Unlearn.AI; Jon Walsh, Unlearn.AI; Charles Fisher, Unlearn.AI; Alejandro Schuler, Unlearn.AI
10:15 AM	Floor Discussion

384 *	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-152A
Systemic Racism and Its Population Health Impacts — Topic Contributed Panel
Section on Statistics in Epidemiology, Justice Equity Diversity and Inclusion Outreach Group, WNAR, Caucus for Women in Statistics
Organizer(s): Sahar Z Zangeneh, RTI International
Chair(s): Jill Dever, RTI International
8:35 AM	Systemic Racism and Its Population Health Impacts
Panelists:	Melody Goodman, New York University Michele Andrasik, Fred Hutch Cancer Research Center Yates Coley, Kaiser Permanente Washington Health Research Institute Sahar Z Zangeneh, RTI International
10:10 AM	Floor Discussion

398 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-202B
Recent Advances in Streaming Data Analytics — Invited Papers
International Chinese Statistical Association, WNAR, Section on Statistical Learning and Data Science
Organizer(s): Lan Luo, The University of Iowa
Chair(s): Peter Song, University of Michigan
10:35 AM	Multivariate Online Regression Analysis with Heterogeneous Streaming Data Lan Luo, The University of Iowa; Peter Song, University of Michigan
11:00 AM	Dynamic Statistical Inference in Massive Datastreams Lilun Du, HKUST; Changliang Zou, Nankai University; Zhenke Wu, University of Michigan, Ann Arbor; Jingshen Wang, UC Berkeley
11:25 AM	Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity Walter Dempsey, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Jieru Shi, University of Michigan
11:50 AM	Statistical Inference for Online Decision-Making via Stochastic Gradient Descent Rui Song, North Carolina State University
12:15 PM	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

409 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-156
Statistical Advances in Single-Cell Research — Topic Contributed Papers
WNAR
Organizer(s): Yiwen Liu, University of Arizona
Chair(s): Meimei Liu, Virginia Tech
10:35 AM	Statistical Model for Recovering the Low Rank Structure of Spatial Transcriptomics Data Sha Cao, Indiana University School of Medicine; Alexander White, Indiana University; Chi Zhang, Indiana University School of Medicine
10:55 AM	Ensemble Dimensionality Reduction and Feature Gene Extraction for Single-Cell RNA-Seq Data Xiaoxiao Sun, University of Arizona; Yiwen Liu, University of Arizona; Lingling An, University of Arizona
11:15 AM	Identification of Differential Cell-Cell Communication from Single-Cell RNA Sequencing Data Di Wu, University of North Carolina
11:35 AM	Model-Based Trajectory Inference for Single-Cell RNA Sequencing Using Deep Learning with a Mixture Prior Jingshu Wang, The University of Chicago
11:55 AM	Attention-Based Graph Neural Network for Label Transfer in Single Cell Multiomics Data Lingling An, University of Arizona; Rahul Bhadani, University of Arizona; Zhuo Chen, University of Arizona
12:15 PM	Floor Discussion

458 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-202A
Bayesian Methods in Spatial Statistics — Invited Papers
WNAR, International Society for Bayesian Analysis (ISBA), JABES-Journal of Agricultural, Biological, and Environmental Statistics
Organizer(s): Weining Shen, University of California, Irvine
Chair(s): Weining Shen, University of California, Irvine
2:05 PM	Spatial Confounding and Restricted Spatial Regression Methods Kate Calder, University of Texas at Austin; Kori Khan, Iowa State University
2:25 PM	Bayesian Nonparametric Learning for Spatial Point Process Guanyu Hu, University of Missouri
2:45 PM	Bayesian Data Sketching for Large Spatial Data Rajarshi Guhaniyogi, Texas A & M University; Sudipto Banerjee, UCLA; Laura Baracaldo, UC Santa Cruz
3:05 PM	Nonparametric Bayesian Inference for Spatial Point Patterns Over Irregular Domains Athanasios Kottas, University of California, Santa Cruz; Chunyi Zhao, University of California, Santa Cruz
3:25 PM	Can Deep Neural Networks Replace Gaussian Processes? Matthew Heaton, BYU; Skyler D. Gray, BYU
3:45 PM	Floor Discussion

496 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-207A
Machine Learning Methods for Single-Cell Analysis — Invited Papers
WNAR, Section on Statistical Learning and Data Science, Section on Statistics in Genomics and Genetics
Organizer(s): Lingling An, University of Arizona
Chair(s): Joel Parker, Mel and Enid Zuckerman College of Public Health
8:35 AM	Discovering Novel Cell Types Across Heterogeneous Single-Cell Experiments Jure Leskovec, Stanford University
9:00 AM	Statistical Machine Learning Models for Large-Scale Spatial Omics James Zou, Stanford University
9:25 AM	Benchmarking Computational Integration Methods for Spatial Transcriptomics Data Lana Garmire, University of Michigan
9:50 AM	Time-Course Single-Cell Multimodal Analysis and Trajectory Inference Using Deep Generative Models Qiao Liu, Stanford University; Xi Chen, Stanford University; Jingxue Xin, Stanford University; Wanwen Zeng, Stanford University; Wing Hung Wong, Stanford University
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

531 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-207B
Precision Medicine: Methods, Tools, and Applications — Invited Papers
Biometrics Section, WNAR, Mental Health Statistics Section
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yichuan Zhao, Georgia State University
10:35 AM	Using Discrete Choice Modeling for Incorporating Patient Preference into Precision Medicine Presentation Joshua Zitovsky, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
11:00 AM	Simultaneous Modeling of the Mean and Within-Subject Variability Trajectories of a Longitudinal Biomarker Together with a Competing Risks Time-to-Event Outcome Gang Li, University of California, Los Angeles; Shanpeng Li, UCLA; Jin Zhou, UCLA; Hua Zhou, UCLA
11:25 AM	New Statistical Learning Methods for Evaluating Personalized Health Care Decision Rules Lu Wang, University of Michigan
11:50 AM	Discussant: Peter Song, University of Michigan
12:10 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association