4 papers · 1 filter
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…
A novel decomposition to explain heterogeneity in observational and randomized studies of causality
Brian Gilbert, Ivan Dıaz, Kara E. Rudolph +2
This paper introduces a novel decomposition framework to explain heterogeneity in causal effects observed across different studies, considering both observational and randomized se…
Improving efficiency in transporting average treatment effects
Kara E. Rudolph, Nicholas T. Williams, Elizabeth A. Stuart +1
We develop flexible, semiparametric estimators of the average treatment effect (ATE) transported to a new population ("target population") that offer potential efficiency gains. Tr…
Studying continuous, time-varying, and/or complex exposures using longitudinal modified treatment policies
Katherine L. Hoffman, Diego Salazar-Barreto, Nicholas Williams +2
This tutorial discusses methodology for causal inference using longitudinal modified treatment policies. This method facilitates the mathematical formalization, identification, and…