时 间：2026-06-01 10:00 - 2026-06-01 11:00
地 点：中北理科大楼A302室
报告人：臧勇 Indiana University School of Medicine副教授
主持人：徐进 华东师范大学教授
摘 要：
In this talk, we will introduce two Bayesian design and analysis methods for phase II clinical trials. First of all, we propose a Bayesian model-assisted adaptive design based on the win ratio (WR) statistic. The proposed design uses the joint asymptotic distribution of the WR statistics across interim and final analyses to derive the stopping boundaries without specifying the underlying outcome distribution. The proposed design allows flexible interim monitoring with early stopping for futility, superiority or toxicity and controls the family-wise error rate (FWER) using the graphical testing procedure. Then, we propose a Bayesian dynamic information borrowing prior for longitudinal data with informative dropout. The proposed prior uses a shared-parameter model to handle the informative dropout and apply a mixture prior framework to incorporate historical control data while accounting for possible prior-data conflict.
报告人简介：
Dr. Yong Zang is the Showalter Scholar Associate Professor in the Department of Biostatistics and Health Data Science at the Indiana University School of Medicine, Indiana University Indianapolis. He also serves as the Co-Director of Clinical Research for the Biostatistics and Data Management Core at the IU Simon Comprehensive Cancer Center. Dr. Zang received his PhD in Statistics from the University of Hong Kong and completed his postdoctoral training at The University of Texas MD Anderson Cancer Center. His research focuses on clinical trial design and health data informatics. He has published more than ninety peer-reviewed papers in statistical, informatics, and medical journals. His research is supported by the National Institutes of Health, the Showalter Trust, and Eli Lilly and Company.