Abstract
Abstract Matched sampling is a method for selecting units from a large reservoir of potential controls to produce a control group of modest size that is similar to a treated group with respect to the distribution of observed covariates. We illustrate the use of multivariate matching methods in an observational study of the effects of prenatal exposure to barbiturates on subsequent psychological development. A key idea is the use of the propensity score as a distinct matching variable.
Keywords
Propensity score matchingMultivariate statisticsStatisticsMathematicsSampling (signal processing)Computer science
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Publication Info
- Year
- 1985
- Type
- article
- Volume
- 39
- Issue
- 1
- Pages
- 33-33
- Citations
- 4829
- Access
- Closed
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Cite This
Paul R. Rosenbaum,
Donald B. Rubin
(1985).
Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score.
The American Statistician
, 39
(1)
, 33-33.
https://doi.org/10.2307/2683903
Identifiers
- DOI
- 10.2307/2683903