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

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Title:	Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score
Author:	Rubin, Donald B.; Rosenbaum, Paul R. Note: Order does not necessarily reflect citation order of authors.
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.
Access Status:	At the direction of the depositing author this work is not currently accessible through DASH.
Full Text & Related Files:	Rubin_ConstructControlMultivar.pdf (1.114Mb; PDF)
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.
Published Version:	http://dx.doi.org/10.2307/2683903
Citable link to this page:	http://nrs.harvard.edu/urn-3:HUL.InstRepos:3425853

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