This talk reviews statistical methods for evaluating heterogeneous treatment effects (HTE) from randomized clinical trials and observational data including subgroup identification and estimation of individualized treatment regimens. We use typology of methods proposed in Lipkovich, Dmitrienko and D’Agostino (2017) and discuss their advantages and disadvantages. A simulated data set is used to illustrate challenges of estimating HTEs.

7月22日
10:00am - 11:00am
地点
https://hkust.zoom.us/j/6827297694 (Passcode: 7436)
讲者/表演者
Dr. Ilya LIPKOVICH
Senior Research Advisor / Eli Lilly and Company
主办单位
Department of Mathematics
联系方法
付款详情
对象
Alumni, Faculty and staff, PG students, UG students
语言
英语
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