7月22日
10:00am - 11:00am
研討會, 演講, 講座
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
地點
https://hkust.zoom.us/j/6827297694 (Passcode: 7436)
講者/表演者
Dr. Ilya LIPKOVICH
Senior Research Advisor / Eli Lilly and Company
Senior Research Advisor / Eli Lilly and Company
主辦單位
Department of Mathematics
聯絡方法
付款詳情
對象
Alumni, Faculty and staff, PG students, UG students
語言
英語
其他活動
5月15日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Laser Spectroscopy of Computable Atoms and Molecules with Unprecedented Accuracy
Abstract
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研討會, 演講, 講座
IAS / School of Science Joint Lecture - Pushing the Limit of Nonlinear Vibrational Spectroscopy for Molecular Surfaces/Interfaces Studies
Abstract
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