The central role of the propensity score in observational studies for causal effects
Bibliographic Data
| ID | 23313741 |
|---|---|
| Authors | Paul R Rosenbaum (0000-0003-0872-1403, University of Wisconsin–Madison), Donald B Rubin (0000-0001-7127-9262, University of Illinois Chicago) |
| Year | 1983 |
| Volume | 70 |
| Issue | 1 |
| Pages | 41-55 |
| Publication date | 1983-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Biometrika (JOURNAL) |
| Journal identifiers | ISSN: 0006-3444 • E-ISSN: 1464-3510 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/biomet/70.1.41 |
| OpenAlex | W2150291618 |
| Language | EN |
| Citations received | 3.984 |
| References cited | 7 |
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.
Covariate · Econometrics · Matching (statistics) · Multivariate statistics · Observational study · Propensity score matching · Statistics · Univariate · Advanced Causal Inference Techniques · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference
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| Unique citing works | 3.984 |
|---|---|
| Citations per year | 92,65 |
| Citation span | 1983 - 2027 (45) |
| Citation velocity | recent |
| Highly cited | Yes |
| Citation types | Neutral: 3.655 |