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Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score

Paul R. Rosenbaum and Donald B. Rubin
The American Statistician
Vol. 39, No. 1 (Feb., 1985), pp. 33-38
DOI: 10.2307/2683903
Stable URL: http://www.jstor.org/stable/2683903
Page Count: 6
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Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score
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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.

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