Propensity score analysis with missing data.

Volume: 21, Issue: 3, Pages: 427 - 445
Published: Sep 1, 2016
Abstract
Propensity score analysis is a method that equates treatment and control groups on a comprehensive set of measured confounders in observational (nonrandomized) studies. A successful propensity score analysis reduces bias in the estimate of the average treatment effect in a nonrandomized study, making the estimate more comparable with that obtained from a randomized experiment. This article reviews and discusses an important practical issue in...
Paper Details
Title
Propensity score analysis with missing data.
Published Date
Sep 1, 2016
Volume
21
Issue
3
Pages
427 - 445
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