Publication: Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score
Date
1985
Authors
Published Version
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Volume Title
Publisher
American Statistical Association
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Citation
Rosenbaum, Paul R., and Donald B. Rubin. 1985. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician 39(1): 33-38.
Research Data
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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Keywords
Mahalanobis metric matching, observational studies, bias reduction, propensity scores, nearest available matching
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