Abstract
AbstractPropensity score (PS) matching is widely used for studying treatment effects in observational studies. This article proposes the method of matching weights (MWs) as an analog to one-to-one pair matching without replacement on the PS with a caliper. Compared with pair matching, the proposed method offers more efficient estimation, more accurate variance calculation, better balance, and simpler asymptotic analysis. A statistical test for the misspecification of the PS model is proposed for balance checking purposes. An augmented version of the MW estimator is developed that has the double robust property, that is, the estimator is consistent, if either the outcome model or the PS model is correct. The proposed method is studied in simulations and illustrated through a real data example.
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Reference84 articles.
1. Developing practical recommendations for the use of propensity scores : discussion of a critical appraisal of propensity score matching in the medical literature between by peter;Stuart;Stat Med,2003
2. Large sample properties of matching estimators for average treatment effects;Abadie;Econometrica,2006
3. Marginal structural models and causal inference in epidemiology;Robins;Epidemiology,2000
4. Recent developments in the econometrics of program evaluation;Imbens;J Econ Lit,2009
5. Matching methods for causal inference a and a look forward;Stuart;review Stat Sci,2010
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