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The central role of the propensity score in observational studies for causal effects

Paul R. Rosenbaum, Donald B. Rubin·1983·Biometrika

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.

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Metadata

Authors
Rosenbaum, P. R., & Rubin, D. B.
Venue
Biometrika
Published
1983
Volume
70
Issue
1
Pages
41-55
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W4233216783
Cited by
3,261
References
0
FWCI
0.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The central role of the propensity score in observational studies for causal effects. https://app.cochat.ai/papers/10.2307/2335942
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Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika. https://doi.org/10.2307/2335942

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