Transporting experimental results with entropy balancing.

ABSTRACT: We show how entropy balancing can be used for transporting experimental treatment effects from a trial population onto a target population. This method is doubly robust in the sense that if either the outcome model or the probability of trial participation is correctly specified, then the estimate of the target population average treatment effect is consistent. Furthermore, we only require the sample moments of the effect modifiers drawn from the target population to consistently estimate the target population average treatment effect. We compared the finite-sample performance of entropy balancing with several alternative methods for transporting treatment effects between populations. Entropy balancing techniques are efficient and robust to violations of model misspecification. We also exa

SUBMITTER: Josey KP 

PROVIDER: S-EPMC8487904 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature