Science & Technology

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
10:00am - 11:00am
Register Now
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
Other Events
10 Oct 2025
Seminar, Lecture, Talk
IAS / School of Science Joint Lecture - Use of Large Animal Models to Investigate Brain Diseases
Abstract Genetically modified animal models have been extensively used to investigate the pathogenesis of age-dependent neurodegenerative diseases, such as Alzheimer (AD), Parkinson (PD), Hunti...
14 Jul 2025
Seminar, Lecture, Talk
IAS / School of Science Joint Lecture - Boron Clusters
Abstract The study of carbon clusters led to the discoveries of fullerenes, carbon nanotubes, and graphene. Are there other elements that can form similar nanostructures? To answer this questio...