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dc.contributor.authorRosenbaum, Paul R.
dc.contributor.authorRubin, Donald B.
dc.date.accessioned2009-11-05T16:12:06Z
dc.date.issued1983
dc.identifier.citationRosenbaum, 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.en_US
dc.identifier.issn0006-3444en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:3382855
dc.description.abstractThe 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.en_US
dc.description.sponsorshipStatisticsen_US
dc.language.isoen_USen_US
dc.publisherOxford University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/biomet/70.1.41en_US
dash.licenseMETA_ONLY
dc.subjectcovariance adjustmenten_US
dc.subjectdirect adjustmenten_US
dc.subjectdiscriminant matchingen_US
dc.subjectmatched samplingen_US
dc.subjectnonrandomized studyen_US
dc.subjectstandardizationen_US
dc.subjectstratificationen_US
dc.subjectsubclassificationen_US
dc.titleThe Central Role of the Propensity Score in Observational Studies for Causal Effectsen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBiometrika -Cambridge-en_US
dash.depositing.authorRubin, Donald B.
dash.embargo.until10000-01-01
dc.identifier.doi10.1093/biomet/70.1.41*
dash.contributor.affiliatedRubin, Donald


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