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

35 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Stories from COVID-19 Vaccine Development: Statistical Challenges and Opportunities — Invited Papers
Biopharmaceutical Section, Biometrics Section, Committee on Applied Statisticians
Organizer(s): Charlotte Baidoo, GlaxoSmithKline plc; Wenji Pu, GlaxoSmithKline plc
Chair(s): Fabian Tibaldi, GlaxoSmithKline plc
3:35 PM	COVID-19: Modeling, Epidemiological, Clinical, and Vaccine Aspects Presentation Geert Molenberghs, Universiteit Hasselt and KU Leuven
4:00 PM	Statistical Observations on Vaccine Clinical Development for Pandemic Diseases Scott Patterson, Sanofi Pasteur; Bo Fu, Sanofi Pasteur; Fabrice Bailleux, Sanofi Pasteur; Josh Chen, Sanofi Pasteur
4:25 PM	Statistical Challenges in COVID-19 Vaccine Trials Ye Yang, FDA/CBER
4:50 PM	Discussant: Tsai-Lien Lin, CBER, FDA
5:10 PM	Floor Discussion

111 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Let the Data Tell the Story: Principles of Visual Communication for Effective Collaboration — Invited Papers
Committee on Applied Statisticians
Organizer(s): Sameera Wijayawardana, Eli Lilly and Company
Chair(s): Sameera Wijayawardana, Eli Lilly and Company
1:35 PM	Elevate the Debate: Teaching Tomorrow’s Researchers How to Communicate to Different Audiences Jonathan Schwabish, Urban Institute
2:00 PM	The Art and Science of Statistical Visualization and Collaboration Peter Parker, National Aeronautics and Space Administration
2:25 PM	How Visual Communication Led to a New EMG-Driven Robotic Prosthesis Controller Jon Stallrich, North Carolina State
2:50 PM	How to Become a Superhero (or Three) Marc Vandemeulebroecke, Novartis Pharma AG
3:15 PM	Floor Discussion

118 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Elevating Applied Statistics in Academic Departments — Invited Panel
Section on Statistical Consulting, Committee on Applied Statisticians, Section on Teaching of Statistics in the Health Sciences, Caucus for Women in Statistics
Organizer(s): Julia Sharp, Colorado State University
Chair(s): Emily Griffith, North Carolina State University
1:35 PM	Elevating Applied Statistics in Academic Departments
Panelists:	Erin Blankenship, University of Nebraska Lincoln Rebecca Doerge, Carnegie Mellon University Sandrine Dudoit, University of California Berkeley Montserrat Fuentes, University of Iowa Heather Smith, Cal Poly, San Luis Obispo
3:10 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

307 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Challenges and Advances in Psychological and Behavioral Data Analysis — Topic-Contributed Papers
Mental Health Statistics Section, Biometrics Section, Committee on Applied Statisticians
Organizer(s): Gongjun Xu, University of Michigan
Chair(s): Gongjun Xu, University of Michigan
3:35 PM	Reporting Proficiency Levels for Examinees with Missing Data on Large-Scale Educational Assessments Presentation Sandip Sinharay, Educational Testing Service
3:55 PM	Statistical Inference for Partially Ordered Responses Edward Ip, Wake Forest School of Medicine, Biostatistics & Data Science
4:15 PM	Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM Chun Wang, University of Washington
4:35 PM	Latent Structure Models for Multiclass Data: Identifiability and Estimation Steven Culpepper, University of Illinois at Urbana-Champaign; Ying Liu, University of Illinois at Urbana-Champaign
4:55 PM	A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data Wenchao Ma, The University of Alabama
5:15 PM	Floor Discussion

JSM 2021 Online Program