2 papers
stat.ME2026
From Subgroups to Population Composition: A Transportability Approach to Effect Heterogeneity
Michael Cheung, Candus Shi, Kara E Rudolph +3
Identifying heterogeneous populations across which exposure effects vary is essential for transportability applications, cost-benefit analyses, and intervention prioritization. Tra…
stat.AP2024
An Overview of Modern Machine Learning Methods for Effect Measure Modification Analyses in High-Dimensional Settings
Michael Cheung, Anna Dimitrova, Tarik Benmarhnia
A primary concern of public health researchers involves identifying and quantifying heterogeneous exposure effects across population subgroups. Understanding the magnitude and dire…