Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators
Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators
This article reviews inverse probability weighting methods and doubly robust estimation methods for the analysis of incomplete data sets. We first consider methods for estimating a population mean when the outcome is missing at random, in the sense that measured covariates can explain whether or not the outcome is observed. …