The Central Role of the Propensity Score in Observational Studies for Causal Effects

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The Central Role of the Propensity Score in Observational Studies for Causal Effects

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Title: The Central Role of the Propensity Score in Observational Studies for Causal Effects
Author: Rosenbaum, Paul R.; Rubin, Donald B.

Note: Order does not necessarily reflect citation order of authors.

Citation: Rosenbaum, Paul R., and Donald B. Rubin. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41-55.
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Abstract: The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates. Applications include: (i) matched sampling on the univariate propensity score, which is a generalization of discriminant matching, (ii) multivariate adjustment by subclassification on the propensity score where the same subclasses are used to estimate treatment effects for all outcome variables and in all subpopulations, and (iii) visual representation of multivariate covariance adjustment by a two- dimensional plot.
Published Version: http://dx.doi.org/10.1093/biomet/70.1.41
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3382855

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  • FAS Scholarly Articles [6463]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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