Approaches to treatment effect heterogeneity in the presence of confounding.

ABSTRACT: The literature on causal effect estimation tends to focus on the population mean estimand, which is less informative as medical treatments are becoming more personalized and there is increasing awareness that subpopulations of individuals may experience a group-specific effect that differs from the population average. In fact, it is possible that there is underlying systematic effect heterogeneity that is obscured by focusing on the population mean estimand. In this context, understanding which covariates contribute to this treatment effect heterogeneity (TEH) and how these covariates determine the differential treatment effect (TE) is an important consideration. Towards such an understanding, this paper briefly reviews three approaches used in making causal inferences and conducts a simul

SUBMITTER: Anoke SC 

PROVIDER: S-EPMC6613382 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature