Short Courses

The 2021 workshop will offer 10 half-day short courses Tuesday, September 21. The short courses are ticketed events that can be added to your registration for an additional fee. Space is limited, so register as soon as possible.

Tuesday, September 21

Morning Short Courses
10:30 a.m. – 2:00 p.m.

SC01: Recent Development in Survival Analysis: Methods and Applications
L.J. Wei, Harvard University; Lu Tian, Stanford University; Hajime Uno, Dana-Farber Cancer Institute/Harvard Medical School

SC02: Bayesian Analytical Tools for Clinical Trials with Data Irregularities
Sujit Ghosh, North Carolina State University; Amy Shi, SAS

SC03: Utilizing Real-World-Data and Real-World-Evidence in Drug Development and Evaluation
Binbing Yu, AstraZeneca, LLC; Qing Li, Takeda Pharmaceutical Company; Bo Lu, The Ohio State University

SC04: Adaptive Seamless Design: Benefits, Challenges and the Best Practices to Win Regulatory Approval
Ping Gao, Innovatio Statistics, Inc; Weidong Zhang, Pfizer, Inc.

SC05: Smart Simulations with SAS and R: Simple to More Sophisticated Applications
Mehmet Kocak, The University of Tennessee Health Science Center

Afternoon Short Courses
2:30 p.m. – 6:00 p.m.

SC06: Digital Health Technologies: Moving Healthcare from the Clinic to the Patient
Susan Murphy, Harvard University; Chad Gwaltney, Gwaltney Consulting; Andrew Potter, Food and Drug Administration; Berkman Sahiner, Food and Drug Administration; Matthew Diamond, Food and Drug Administration

SC07: Beyond Propensity Score Methods for Real-World Evidence: Targeted Maximum Likelihood Estimation (TMLE) with an Ensemble of Machine Learning Algorithms
Susan Gruber, Putnam Data Sciences, LLC; Martin Ho, FDA/CBER

SC08: Master Protocol and Its Applications
Jingjing Ye, BeiGene; Nicole (Xiaoyun) Li, Merck; Cindy Lu, Biogen

SC09: Multivariate and Network Meta-Analysis Methods
Yong Chen, University of Pennsylvania; Haitao Chu, University of Minnesota; Joseph Cappelleri, Pfizer Inc

SC10: Recent Statistical Advances in the Analysis of Composite Endpoints
Lu Mao, University of Wisconsin


Key Dates