Full Hot Breakfast (Covered by registration fee)

What is Translational Biostatistics and How to Implement It? 
Prof. L. J. Wei, Harvard University
Moderator: Pinggao Zhang

Semiparametric Regression Analysis of Interval-Censored Data
Danyu Lin, UNC-Chapel Hill
Moderator: Wenjin Wang

Precision Gains in Randomized Studies Using Covariate Adjustment With Ordinal and Time-To-Event Endpoints
Ivan Diaz, Cornell University
Moderator: Kalyan Ghosh

Lunch (at your own)

Group Sequential Design (GSDESIGN) and Non-Proportional Hazard
Keaven Anderson, Yilong Zhang and Xiao Nan, Merck & Co. Inc
Moderator: Bill Wang

Marginal Models in Analysis of Correlated Binary Data with TimeDependent Covariates in Biomedical Clinical Trials
Jeffrey R. Wilson, Arizona State University and Din Chen, UNC-Chapel Hill
Moderator: Walter R. Young

Current Trends in Multiple Imputation
Prof. Stef van Buuren, University of Utrecht, Holland
Moderator: Alfred H. Balch

Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials
Shao Jun, University of Wisconsin – Madison and Ting Ye, University of
Washington
Moderator: Naitee Ting

C’mon in … The DOOR is Open: Pragmatic Benefit:Risk Evaluation Using Outcomes to Analyze Patients Rather than Patients to Analyze Outcomes
Scott Evans and Toshimitsu Hamasaki, George Washington University
Moderator: Bill Wang

Break (at your own)

Beyond Bonferroni Correction – Innovation, Intuition and Common Sense
Qian Helen Li, BMS
MODERATOR:Naitee Ting

Extracting Real-World Evidence from Real-World Data
SPEAKERS: Rebecca Hubbard, University of Pennsylvania and Xu Shi, University of Michigan
MODERATOR:Kalyan Ghosh

Two Key Ideas in Missing Data – Missing at Random and Response Propensity
Prof. Rod Little, University of Michigan
Moderator: Alfred H. Balch

The Treatment of Missing Data in Clinical Trials
Rod Little, University of Michigan
MODERATOR: Alfred H. Balch

Robust Methods for Assessment of Average and Scaled Average Bioequivalence
Divan Burger, University of Pretoria, South Africa
MODERATOR:Din Chen

Lunch (at your own)

Using SAS PROC BGLIMM and MCMC for Bayesian Analysis of Mixed Models
Walter Stroup, University of Nebraska
MODERATOR:Alfred H. Balch

Statistical Analyses Targeting Estimands
Frank Bretz and Dong Xi, Novartis
MODERATOR: Ivan S F Chan

Estimands, Missing Data Handling and Bayesian Methods for Clinical Trials
Instructors: Frank Liu, Merck & Co. Inc and Fang Chen, SAS®
Moderator: Ivan S. F. Chan

Multiple Imputation in Practice
Stef van Buuren and Gerko Vink, University of Utrecht, Holland
MODERATOR: Alfred H. Balch