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

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* = applied session ! = JSM meeting theme

Activity Details

7 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Point Process Modeling and Estimation on Modern Recurrent Event Data — Invited Papers
Section on Statistical Learning and Data Science, WNAR, International Chinese Statistical Association
Organizer(s): Shizhe Chen, University of California, Davis
Chair(s): Shizhe Chen, University of California, Davis
1:35 PM	Causal Inference from Multi-Experiment Point Process Data Ali Shojaie, University of Washington
2:15 PM	Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes Rebecca Willett, University of Chicago; Daren Wang, University of Notre Dame; Yi Yu, University of Warwick
2:35 PM	Marked Point Process Modeling and Estimation Problems in Neural Data Analysis Uri Eden, Boston University
2:55 PM	Discussant: Victor Solo, UNSW, Sydney
3:15 PM	Floor Discussion

17 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Innovative Statistical Strategies and Designs in Oncology Drug Development — Topic-Contributed Papers
Biopharmaceutical Section, Biometrics Section, International Chinese Statistical Association
Organizer(s): Olga Marchenko, Bayer
Chair(s): Qi Jiang, Seagen
1:35 PM	Opportunities and Challenges of Master Protocol Trials: ASA Oncology Working Group Master Protocol Subteam Update Xiaoyun (Nicole) Li, Merck & Co.; Chengxing (Cindy) Lu, Biogen
1:55 PM	Application of Historical Data in Oncology Combination Therapy Development Rong Liu, Bristol Myers Squibb
2:15 PM	Statistical and Operational Considerations for 2-Stage Adaptive Designs with Simultaneous Evaluation of Overall and Marker Selected Populations in Oncology Confirmatory Trials Presentation Sunhee Ro, Sierra Oncology
2:35 PM	Discussant: Xin Cindy Gao, FDA
2:55 PM	Floor Discussion

19 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Inference for Random Networks and Matrices — Topic-Contributed Papers
Section on Nonparametric Statistics, IMS, International Chinese Statistical Association
Organizer(s): Min Xu, Rutgers University
Chair(s): Tengyao Wang, University College London
1:35 PM	Testing Correlation of Unlabeled Random Graphs Presentation Yihong Wu, Yale; Jiaming Xu, Duke University; Sophie H. Yu, Duke University
1:55 PM	Asymptotic Distributions of High-Dimensional Distance Correlation Inference Presentation Lan Gao, University of Southern California; Yingying Fan, University of Southern California; Jinchi Lv, University of Southern California; Qi-Man Shao, Southern University of Science and Technology and The Chinese University of Hong Kong
2:15 PM	Euclidean Representation of Low-Rank Matrices and Intrinsic Perturbation Analysis with Applications to High-Dimensional Statistics Fangzheng Xie, Indiana University
2:35 PM	Inference on the History of Infection Networks Min Xu, Rutgers University; Harry Crane, Rutgers University
2:55 PM	Spectral Analysis of Networks with Latent Space Dynamics and Signs Joshua Cape, University of Pittsburgh
3:15 PM	Floor Discussion

20 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Industrial Data Science: Transforming Analytics into Business Impact — Topic-Contributed Papers
Section on Statistical Learning and Data Science, Committee on Career Development, International Chinese Statistical Association
Organizer(s): Qiaolin Chen, Tencent
Chair(s): Liang Xie, Tencent
1:35 PM	Level-Up: Transforming the Gaming Industry with Machine Learning and Big Data Analytics Qiaolin Chen, Tencent; Zeng Zhao, Tencent; Botao Li, Tencent
1:55 PM	Data Science in Online Advertising: Differentially Private Reach and Frequency Estimation for Effectiveness Measurement Jiayu Peng, Google Inc.
2:15 PM	Understanding Online Behaviors of Users with Neural Sequence Models Shiwen Zhao, Apple Inc.
2:35 PM	Privacy Risk Evaluation for Deep Neural Networks Sen Yuan, Facebook
2:55 PM	Floor Discussion

45 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Methods Utilizing Historical and Real-World Data for Clinical Studies — Topic-Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, International Society for Clinical Biostatistics, Caucus for Women in Statistics
Organizer(s): Yuan Ji, The University of Chicago
Chair(s): Tianjian Zhou, Colorado State University
3:35 PM	Robust Use of External Control Information in Clinical Trials Heinz Schmidli, Novartis
3:55 PM	Performance of LTMLE in the Presence of Missing Patterns Sue-Jane Wang, FDA; Zhipeng Huang, FDA
4:15 PM	Using Historical Data in Developing Novel Therapies: A Roadmap and Case Studies Rui (Sammi) Tang, Servier Pharmaceuticals; chenkun wang, vertex pharmarcetical
4:35 PM	Single Arm Trials with a Synthetic Control Arm Built from RWD Peter Mueller, University of Texas Austin; Noirrit Kiran Chandra, University of Texas at Austin; Choudur Lakshminarayan, Teradata Labs/The University of Texas at Austin
4:55 PM	Floor Discussion

146 !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Reinforcement Learning — Invited Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Will Wei Sun, Purdue University
Chair(s): Emma Jingfei Zhang, University of Miami
10:05 AM	Bootstrapping Statistical Inference for Off-Policy Evaluation Mengdi Wang, Princeton University
10:30 AM	Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings Rui Song, North Carolina State University
10:55 AM	Distribution-Free Contextual Dynamic Pricing Yiyun Luo, University of North Carolina at Chapel Hill; Will Wei Sun, Purdue University; Yufeng Liu, University of North Carolina at Chapel Hill
11:20 AM	On Efficiency in Hierarchical Reinforcement Learning Zheng Wen, DeepMind
11:45 AM	Floor Discussion

200 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Challenges and Opportunities for Expedited Oncology Drug Development — Topic-Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Qing Li, Takeda Pharmaceuticals
Chair(s): Jianchang Lin, Takeda Pharmaceuticals
1:35 PM	Multiplicity Issues for Platform Trials with a Shared Control Arm Xiaofei Bai, Boehringer-Ingelheim Pharmaceutical Inc.; Qiqi Deng, Boehringer-Ingelheim Pharmaceutical Inc.; Dacheng Liu, Boehringer-Ingelheim Pharmaceutical Inc.
1:55 PM	A Unified Framework for Time-to-Event Dose-Finding Designs Tianjian Zhou, Colorado State University; Yuan Ji, The University of Chicago
2:15 PM	Prediction of Combination Treatment Effect and Its Application in Oncology Trial Design Presentation Linda Sun, Merck & Co., Inc.; Cong Chen, Merck & Co., Inc.; Cai (Iris) Wu, Merck & Co., Inc.; Fang Liu, Merck & Co., Inc.; Yixin Ren, Merck & Co., Inc.; Leah Suttner, Merck & Co., Inc.; Xiaoyun (Nicole) Li, Merck & Co.
2:35 PM	Incorporating Surrogate Information for Adaptive Subgroup Enrichment Design with Sample Size Reestimation Qing Li, Takeda Pharmaceuticals; Jianchang Lin, Takeda Pharmaceuticals; Mengya Liu, Takeda Pharmaceuticals; Liwen Wu, University of Pittsburgh
2:55 PM	Hierarchical Testing of a Primary and Secondary Endpoint in a Group Sequential Design with Different Information Times Presentation Dong Xi, Novartis Pharmaceuticals, East Hanover, New Jersey, USA ; Jiangtao Gou, Villanova University
3:15 PM	Floor Discussion

218 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Leveraging and Advancing Deep Learning Techniques in Biomedical Related Fields — Invited Papers
International Chinese Statistical Association, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Jian Kang, University of Michigan; Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc.
Chair(s): Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc.
10:05 AM	Deep Learning in Pharma Industry Haoda Fu, Eli Lilly and Company
10:30 AM	Statistics Inferences on Neuroimaging Data via Deep Neural Networks Jian Kang, University of Michigan
10:55 AM	Efficient Multi-Modal Sampling via Tempered Distribution Flow Xiao Wang, Purdue University; Yixuan Qiu, Shanghai University of Finance and Economics
11:20 AM	A Representational Model of Grid Cells' Path Integration Based on Matrix Lie Algebras Presentation Ying Nian Wu, UCLA
11:45 AM	Floor Discussion

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

236 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
New Developments in Integrated Analysis of Complex Data from Multiple Sources — Topic-Contributed Papers
Biometrics Section, Biopharmaceutical Section, International Chinese Statistical Association
Organizer(s): Xiaofei Wang, Duke University
Chair(s): Herbert Pang, Genentech
10:05 AM	Identifying Temporal Pathways Using High-Dimensional Biomarkers Shanghong Xie , Columbia Unviersity; Donglin Zeng, UNC Chapel Hill; Yuanjia Wang, Columbia University
10:25 AM	Fusion Designs and Estimators Stephen Cole, UNC
10:45 AM	Improving Trial Generalizability Using Observational Studies Lin Dong, Wells Fargo; Shu Yang, North Carolina State University
11:05 AM	Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population Issa J. Dahabreh, Harvard T. H. Chan School of Public Health; Sarah E. Robertson, Brown University; Lucia C. Petito, Northwestern University; Miguel Hernán, Harvard T. H. Chan School of Public Health; Jon Steingrimsson, Brown University
11:25 AM	Discussant: Miguel Hernan, Harvard School of Public Heatlh
11:45 AM	Floor Discussion

259	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Xiaofeng Shao, University of Illinois at Urbana-Champaign
Chair(s): Changbo Zhu, University of California, Davis
1:35 PM	High-Dimensional Change-Point Detection Using Generalized Homogeneity Metrics Presentation Xianyang Zhang, Texas A&M University; Shubhadeep Chakraborty, University of Washington
2:05 PM	Asymptotic Distributions of High-Dimensional Distance Correlation Inference Jinchi Lv, University of Southern California
2:35 PM	Concentration Inequality for Distance Covariances and Applications in Feature Screening Xiaoming Huo, Georgia Institute of Technology
3:05 PM	Floor Discussion

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

275 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Joint Models for Complex Data: An Update on Computational Issues, Solutions, and Applications — Topic-Contributed Papers
International Chinese Statistical Association
Organizer(s): Hongbin Zhang, City University of New York
Chair(s): Lang Wu, University of British Columbia
1:35 PM	Smoothed Simulated Pseudo Maximum Likelihood Estimation for Nonlinear Mixed Effects Models with Censored Responses Yue Song, Harvard T. H. Chan School of Public Health; Rui Wang, Harvard Pilgrim Health Care Institute
1:55 PM	Robust analysis of longitudinal binary and count responses Sanjoy Sinha, Carleton Univeresity
2:15 PM	Subsampling for the generalized estimating equation approach in the analysis of large-scale longitudinal data Yujing Yao, Columbia University; Zhezhen Jin, Columbia University
2:35 PM	A Variable Selection Method for the Joint Model of Longitudinal and Survival Data with Its Application in Clinical Data Analysis Tao Wang, Yunnan Normal University
2:55 PM	Semiparametric Regression of the Illness-Death Model with Interval Censored Disease Incidence Time: an Application to the ACLS Data Jiajia Zhang, University of South Carolina; Jie Zhou, University of South Carolina; Alexander McLain, University of South Carolina; Wenbin Lu, North Carolina State University; Xuemei Sui, University of South Carolina ; James Hardin, University of South Carolina
3:15 PM	Floor Discussion

276	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Foundations of Reinforcement Learning — Topic-Contributed Papers
IMS, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Yuxin Chen, Princeton University
Chair(s): Yuxin Chen, Princeton University
1:35 PM	Breaking the sample size barrier in model-based reinforcement learning Yuting Wei, Carnegie Mellon University
1:55 PM	Distributional Robust Batch Contextual Bandits Zhengyuan Zhou, New York University
2:15 PM	Learning Good State and Action Representations via Tensor Decomposition Anru Zhang, University of Wisconsin-Madison; Chengzhuo Ni, Princeton University; Yaqi Duan, Princeton University; Mengdi Wang, Princeton University
2:35 PM	Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits Zhimei Ren, Stanford University; Zhengyuan Zhou, New York University
2:55 PM	Is Q-Learning Minimax Optimal? Yuejie Chi, Carnegie Mellon University
3:15 PM	Floor Discussion

280 *	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Application of Machine Learning in Clinical Development — Topic-Contributed Papers
Biopharmaceutical Section, Section on Statistical Learning and Data Science, International Chinese Statistical Association, Text Analysis Interest Group
Organizer(s): Dooti Roy, Boehringer Ingelheim Pharmaceuticals, Inc.; Nan Shao, Boehringer Ingelheim Pharmaceuticals, Inc.
Chair(s): Zheng Zhu, Boehringer Ingelheim Pharmaceuticals, Inc.
1:35 PM	Application of Digital Medicine in Drug Development Sandeep M Menon, Pfizer; Tim McCarthy, Pfizer; F. Isik Karahanoglu, Pfizer Global Research and Development
1:55 PM	Predicting Patient Adherence in a Changing World Dooti Roy, Boehringer Ingelheim Pharmaceuticals, Inc.
2:15 PM	Automatic Disease Screening of Borderline Personality Disorder Using Electronic Health Records (EHR) Nan Shao, Boehringer Ingelheim Pharmaceuticals, Inc.; Marianne Goodman, Icahn School of Medicine at Mount Sinai; James J Peters VA Medical Center; Chengxi Zang, Weill Cornell Medicine, Cornell University; Zheng Zhu, Boehringer Ingelheim Pharmaceuticals, Inc.; Zsuzsanna Tamas, Boehringer Ingelheim; Rachel Ovens, Boehringer Ingelheim; Agnes Koczon-Jaremko , Boehringer Ingelheim; Vikas_Mohan Sharma, Boehringer Ingelheim
2:35 PM	Application of Natural Language Processing in Drug Development Hua Xu, The University of Texas Health Science Center at Houston
2:55 PM	Floor Discussion

299 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Risk Analysis: New Data, New Approaches, and New Interfaces — Invited Papers
Section on Risk Analysis, Committee on Applied Statisticians, International Chinese Statistical Association
Organizer(s): Dong Wang, National Center for Toxicological Research/FDA
Chair(s): Wei Vivian Zhuang, National Center For Toxicological Research/FDA
3:35 PM	Bayesian Dose-Response Analysis for Benchmark Dose Estimation in Chemical Risk Assessment Kan Shao, Indiana University
4:00 PM	Predicting Dose-Response Using Constrained Density Regression Michael L. Pennell, The Ohio State University; Matthew Wheeler, National Institute of Environmental Health Sciences
4:25 PM	Statistical Methods for Bridging the Gap Between in Vitro Assays and Postmarket Surveillance Data Dong Wang, National Center for Toxicological Research/FDA
4:50 PM	Advanced Utilization of Intermediate Endpoints for Making Optimized Cost-Effective Decisions in Seamless Phase II/III Oncology Trials Wen Li, Merck
5:15 PM	Floor Discussion

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

308	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Methods for Studying Spatial Transcriptomics, Tissue Heterogeneity, and Pleiotropy — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association
Organizer(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
Chair(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
3:35 PM	Nonparametric Modeling Enables Scalable and Robust Detection of Spatial Expression Patterns for Large Spatial Transcriptomic Studies Xiang Zhou, University of Michigan
3:55 PM	Unsupervised Gene Selection for Predicting Cell Spatial Positions in the Drosophila Embryo Yang Chen, University of Massachusetts, Amherst; Disheng Mao, University of Connecticut; Yuping Zhang, University of Connecticut; Zhengqing Ouyang, University of Massachusetts, Amherst
4:15 PM	Learning Directed Acyclic Graphs for Ligands and Receptors Based on Spatially Resolved Transcriptomic Analysis of Ovarian Cancer SHRABANTI CHOWDHURY, Icahn school of Medicine at Mount Sinai; Sammy Ferri-Borgogno, MD Anderson Cancer Center; Peng Yang, University of Texas MD Anderson Cancer Center; Jie Peng, University of California Davis; Wenyi Wang, University of Texas MD Anderson Cancer Center; Samuel Mok, MD Anderson Cancer Center; Pei Wang, Icahn school of Medicine at Mount Sinai
4:35 PM	Tumor Cell Total MRNA Expression Shapes the Molecular and Clinical Phenotype of Cancer Shaolong Cao, University of Texas MD Anderson Cancer Center; Jennifer Rui Wang, University of Texas MD Anderson Cancer Center; Shuangxi Ji, University of Texas MD Anderson Cancer Center; Peng Yang, University of Texas MD Anderson Cancer Center; Jonas Demeulemeester, KU Leuven; Peter Van Loo, The Francis Crick Institute; Wenyi Wang, University of Texas MD Anderson Cancer Center
4:55 PM	Mendelian Randomization That Accounts for LD and Correlated Horizontal Pleiotropy Jin Liu, Duke-NUS Medical School, Health Service & Systems Research
5:15 PM	Floor Discussion

331 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Recent Developments in High-Throughput, Large-Scale Biomedical Data Analysis — Invited Papers
International Chinese Statistical Association, Caucus for Women in Statistics
Organizer(s): Yinglei Lai, The George Washington University
Chair(s): Yinglei Lai, The George Washington University
10:05 AM	Statistical Analysis of Multi-Sample, Single-Cell RNA-Seq Data with Applications to COVID-19 Hongkai Ji, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Duke University School of Medicine; Boyang Zhang, Johns Hopkins Bloomberg School of Public Health; Runzhe Li, Johns Hopkins Bloomberg School of Public Health; Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Wenpin Hou, Johns Hopkins Bloomberg School of Public Health; Zhao Ruzhang, Johns Hopkins Bloomberg School of Public Health; Wang Yi, Johns Hopkins Bloomberg School of Public Health; Zeyu Chen, Institute of Immunology, University of Pennsylvania
10:30 AM	Count Statistics for Inferring Disease-Drug Associations Haiyan Huang, University of California, Berkeley
10:55 AM	DiSNEP: A Disease-Specific Gene Network Enhancement to Improve Prioritizing Candidate Disease Genes Shuang Wang, Columbia Uiversity
11:20 AM	Discussant: Fang Jin, The George Washington University
11:40 AM	Floor Discussion

347 !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Clustering and Mixture Models Analysis — Topic-Contributed Papers
Section for Statistical Programmers and Analysts, IMS, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Anderson Ye Zhang, University of Pennsylvania
Chair(s): Anderson Ye Zhang, University of Pennsylvania
10:05 AM	Structures of Local Minima in K-Means and the Likelihood of Mixture Models Yudong Chen, School of ORIE, Cornell University; Xumei Xi, School of ORIE, Cornell University
10:25 AM	Causal Inference for Randomized Experiments in Social Networks David Choi, Carnegie Mellon University
10:45 AM	Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments Presentation Cheng Mao, Georgia Institute of Technology; Yihong Wu, Yale
11:05 AM	Efficient Clustering for Stretched Mixtures: Landscape and Optimality Kaizheng Wang, Columbia University; Yuling Yan, Princeton University; Mateo Diaz, Cornell University
11:25 AM	Sparse Topic Modeling: Computational Efficiency and Near-Optimal Algorithms Ruijia Wu, Department of Statistics, University of Pennsylvania; Linjun Zhang, Rutgers University; Tony Cai, University of Pennsylvania
11:45 AM	Floor Discussion

380 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Advances in Statistical Learning for Large-Scale and Multidimensional Testing Data — Topic-Contributed Papers
International Chinese Statistical Association, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Xiaojing Wang, University of Connecticut
Chair(s): Jingyu Sun, University of Connecticut, Department of Statistics
12:05 PM	Response Accuracy and Response Time in Cognitive Tests Paul De Boeck, The Ohio State University
12:25 PM	Testing the Within-State Distribution in Mixture Models for Responses and Response Times Dylan Molenaar, University of Amsterdam
12:45 PM	A Mixture Response Time Process Model for Aberrant Behavior and Item Nonresponses Jing Lu, Northeast Normal University; Chun Wang, University of Washington
1:05 PM	Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages Erin Conlon, University of Massachusetts Amherst; Zheng Wei, University of Maine
1:25 PM	Bayesian Joint Item Response Model of Multidimensional Response Data with Application to Computerized Testing Xiaojing Wang, University of Connecticut; Fang Liu, Northeast Normal University; Ming-Hui Chen, UCONN; Roeland Hancock, University of Connecticut
1:45 PM	Floor Discussion

388 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
New Development of Change-Point Methods — Invited Papers
IMS, International Chinese Statistical Association, Business and Economic Statistics Section
Organizer(s): Jialiang Li, National University of Singapore
Chair(s): Jialiang Li, National University of Singapore
2:05 PM	High-Dimensional, Multiscale Online Changepoint Detection Tengyao Wang, University College London; Yudong J Chen, University of Cambridge; Richard J. Samworth, University of Cambridge
2:25 PM	Monitoring for a Change Point in a Sequence of Distributions Piotr Kokoszka, Colorado State University ; Lajos Horvath , University of Utah ; Shixuan Wang , University of Reading
2:45 PM	L_1 Based Change-Plane Estimation in High Dimensions Moulinath Banerjee, University of Michigan; Debarghya Mukherjee, University of MIchigan; Ya'acov Ritov, University of Michigan
3:05 PM	Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks Alexander Aue, University of California Davis
3:25 PM	On Functional Processes with Multiple Thresholds Jialiang Li, National University of Singapore; Yaguang Li, University of Toronto; Tailen Hsing, University of Michigan
3:45 PM	Floor Discussion

392 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Recent Advances in Tensor Learning — Invited Papers
IMS, International Chinese Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Will Wei Sun, Purdue University
Chair(s): Will Wei Sun, Purdue University
2:05 PM	Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness Presentation Xuan Bi, University of Minnesota; Gediminas Adomavicius, University of Minnesota; William Li, Shanghai Jiao Tong University; Annie Qu, Unviersity of California Irvine
2:30 PM	Community Detection on Mixture Multi-Layer Networks via Regularized Tensor Decomposition Dong XIA, Hong Kong University of Science and Technology
2:55 PM	Frequentist Predictions with Incorrect Tensor Models Peter Hoff, Duke University
3:20 PM	Dynamic Tensor Factor Model Based on CP Decomposition Yuefeng Han, Rutgers University; Rong Chen, Rutgers University; Cun-Hui Zhang, Rutgers University
3:45 PM	Floor Discussion

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

400 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Breiman Award Lectures — Invited Papers
Section on Statistical Learning and Data Science, IMS, International Chinese Statistical Association
Organizer(s): Hao Helen Zhang, University of Arizona
Chair(s): Jelena Bradic, University of California, San Diego
2:05 PM	Hypothesis Testing After Hypothesis Generation Daniela Witten, University of Washington; Jacob Bien, University of Southern California; Lucy Gao, University of Waterloo; Anna Neufeld, University of Washington
2:35 PM	Some Comments on CV Trevor JOHN Hastie, STANFORD UNIVERSITY; Stephen Bates, UC Berkeley; Robert Tibshirani, Stanford Univ
3:45 PM	Floor Discussion

404 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Recent Research in High-Dimensional and Complex Data Analysis — Topic-Contributed Papers
International Chinese Statistical Association, Section on Nonparametric Statistics, Caucus for Women in Statistics
Organizer(s): Yicheng Kang, Bentley University; Jiaying Weng, Bentley University
Chair(s): Yicheng Kang, Bentley University
2:05 PM	Detection of Multiple Change Points in an Accelerated Failure Time Model Using Sequential Testing Kayoung Park, Old Dominion University; Kristine Gierz, Old Dominion University
2:25 PM	High-Dimensional Rank-Based Inference for Testing Relative Effects Xiaoli Kong, Loyola University Chicago; Solomon Harrar, University of Kentucky
2:45 PM	An Ensemble of Inverse Moments Estimator for Sufficient Dimension Reduction Qin Wang, University of Alabama; Yuan Xue, University of International Business and Economics
3:05 PM	Flexible Interaction Selection for Cox's Proportional Hazards Models Yi Yang, McGill University
3:25 PM	Sufficient Variable Screening for Ultrahigh Dimensional Survival Data Chenlu Ke, Virginia Commonwealth University
3:45 PM	Floor Discussion

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

438 !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Modern Statistical Learning Methods for High-Dimensional Biomedical Data: Treatment Heterogeneity and Data Integration — Topic-Contributed Papers
Biometrics Section, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Lu Xia, University of Washington, Seattle
Chair(s): Lu Xia, University of Washington, Seattle
4:05 PM	Cancer Prediction by Detecting and Integrating Connectomic Networks and Marginally Weak Signals Yanming Li, University of Kansas Medical Center; Fengwei Yang, University of Kansas Medical Center; Xueping Zhou, University of Pittsburgh; Devin C Koestler, University of Kansas Medical Center; Wei Chen, University of Pittsburgh
4:25 PM	Sharp Inference on Selected Subgroups in Observational Studies Xinzhou Guo, Harvard University; Waverly Wei, University of California, Berkeley; Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
4:45 PM	Efficient Debiased Estimation of Heterogeneous Treatment Effect in Observational Studies Waverly Wei, University of California, Berkeley; Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
5:05 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association