On the Relation Between G-formula and Inverse Probability Weighting Estimators for Generalizing Trial Results
Abstract
When generalizing inferences from a randomized trial to a target population, two classes of estimators are used: g-formula estimators that depend on modeling the conditional outcome mean among trial participants and inverse probability (IP) weighting estimators that depend on modeling the probability of participation in the trial. In this article, we take a closer look at the relation between these two classes of estimators. We propose IP...
Paper Details
Title
On the Relation Between G-formula and Inverse Probability Weighting Estimators for Generalizing Trial Results
Published Date
Nov 1, 2019
Journal
Volume
30
Issue
6
Pages
807 - 812
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