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All Times EDT

* = applied session       ! = JSM meeting theme

Activity Details

24 * !
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Causal Inference When the Outcome Is Truncated by Death — Topic Contributed Papers
Section on Statistics in Marketing, Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jessica Gerald Young, Harvard Medical School
Chair(s): Jessica Gerald Young, Harvard Medical School
10:05 AM New Estimands for Causal Inference Conditional on Post-Treatment Variables
Mats Stensrud, Harvard T. H. Chan School of Public Health
10:25 AM Principal Surrogate Evaluation Using Multiple Trials
Zhichao Jiang, University of Massachusetts, Amherst; Peng Ding, University of California, Berkeley; Zhi Geng, Peking University
10:45 AM Flexible Estimation of Time-Varying Survivor Average Causal Estimands Using Bayesian Additive Regression Trees
Leah Comment, Foundation Medicine, Inc
11:05 AM Bayesian Mediation Analysis for Cluster Randomized Trials
Joseph Hogan, Brown University; Michael Daniels, University of Florida
11:25 AM Floor Discussion

Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Modern Applications of Statistical Methods in Marketing — Contributed Papers
Section on Statistics in Marketing
Chair(s): Lan Luo, USC Marshall School of Business
Immunogenicity Assessment and Extrapolation in BDRS
Xin Cao, Merck & Co Inc
A New Procedure to Evaluate the Quality of Check All That Apply (CATA) Data Presentation
Thierry Fahmy, Addinsoft
A "Novel" Application of Representation Learning to Understand How People Consume Books
Sarah Cox, Penguin Random House
Parallel Experimentation in a Competitive Advertising Marketplace
Caio Waisman, Northwestern University
Using Bayesian Topic Modeling to Enhance Customer Purchase Prediction
Samuel Levy, Carnegie Mellon University; Dokyun Lee, Carnegie Mellon University; Daniel McCarthy, Emory University; Alan Montgomery, Carnegie Mellon University

284 * !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Statistical Learning for Dependent and Complex Data: New Directions and Innovation — Invited Papers
Section on Statistics in Marketing, Business and Economic Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Guannan Wang, College of William and Mary
Chair(s): Guannan Wang, College of William and Mary
10:05 AM Reduced Rank Autoregressive Models for Matrix Time Series
Rong Chen, Rutgers University
10:30 AM Fast and Fair Simultaneous Confidence Bands for Functional Parameters
Matthew Reimherr, Penn State University
10:55 AM High-Dimensional Sparse Nonlinear Vector Autoregressive Models
Yuefeng Han, Rutgers University; Wei Biao Wu, University of Chicago; Likai Chen, Washington University in St. Louis
11:20 AM Spatiotemporal Dynamics, Nowcasting and Forecasting COVID-19 in the United States
Guannan Wang, College of William and Mary; Lily Wang, Iowa State University; Yueying Wang, Iowa State University
11:45 AM Floor Discussion