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.

22 Jul 2022
10am - 11am
Where
https://hkust.zoom.us/j/6827297694 (Passcode: 7436)
Speakers/Performers
Dr. Ilya LIPKOVICH
Senior Research Advisor / Eli Lilly and Company
Organizer(S)
Department of Mathematics
Contact/Enquiries
Payment Details
Audience
Alumni, Faculty and staff, PG students, UG students
Language(s)
English
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