Bayesian Model Averaging for Propensity Score Analysis
Abstract
This article considers Bayesian model averaging as a means of addressing uncertainty in the selection of variables in the propensity score equation. We investigate an approximate Bayesian model averaging approach based on the model-averaged propensity score estimates produced by the R package BMA but that ignores uncertainty in the propensity score. We also provide a fully Bayesian model averaging approach via Markov chain Monte Carlo sampling...
Paper Details
Title
Bayesian Model Averaging for Propensity Score Analysis
Published Date
Nov 2, 2014
Volume
49
Issue
6
Pages
505 - 517
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