Abstract #301597

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JSM 2003 Abstract #301597
Activity Number: 213
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301597
Title: Estimation of Causal Treatment Effects Using the Propensity Score
Author(s): Jared Lunceford*+ and Marie Davidian
Companies: Merck & Co., Inc. and North Carolina State University
Address: 3602 Riddle Ct., Bridgewater, NJ, 08807-5553,
Keywords: causal effects ; propensity score ; stratification ; inverse weighting
Abstract:

Estimation of treatment effects with causal interpretation from observational data is complicated by the fact that exposure to treatment is confounded with subject characteristics. The propensity score, the probability of exposure to treatment conditional on the observed covariates, is the basis for two competing classes of approaches for adjusting for confounding: methods based on stratification of observations by quantiles of estimated propensity scores, and methods based on weighting individual observations by weights depending on estimated propensity scores. We review these approaches, their asymptotic properties, and investigate their relative performance in simulations. We also propose a new weighted estimator of average causal effect which shows significant improvement over the other estimators constructed using propensity scores.

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