应数学系刘伟副教授邀请，美国加州大学河滨分校副教授张志伟博士将于近期访问公司数学系，进行学术交流。张志伟博士的报告信息如下，欢迎感兴趣的老师和同学参加

时间：2017年7月18日上午10:00-11:30

地点：格物楼522

题目：Subgroup Selection in Adaptive Signature Designs of Confirmatory Clinical Trials

摘要：The increasing awareness of treatment effect heterogeneity has motivated flexible designs of clinical trials that prospectively allow investigators to test for treatment efficacy for a subpopulation of patients in addition to the entire population. If a target subpopulation is not well characterized in the design stage, it can be developed at the end of a broad eligibility trial under an adaptive signature design. This article proposes new procedures for subgroup selection and treatment effect estimation (for the selected subgroup) under an adaptive signature design. We first provide a simple and general characterization of the optimal subgroup that maximizes the power for demonstrating treatment efficacy or the expected gain based on a specified utility function. This characterization motivates a procedure for subgroup selection that involves prediction modeling, augmented inverse probability weighting, and low-dimensional maximization.

报告人简介：张志伟博士，美国加州大学河滨分校副教授，曾在美国食品药品监督管理局、美国国立健康研究院等著名科研院所的工作经历。张博士在统计理论研究及实践应用方面均有较深的造诣，其研究范围涵盖了缺失数据、因果推断、观测性研究、纵向数据等多个领域，目前已发表或接受的SCI文章数十篇，其中多篇刊登于诸如Journal of the American Statistical Association, Biometrics等顶级统计学杂志上。