Departmental Papers (ASC)
Document Type
Journal Article
Date of this Version
12-2001
Publication Source
Journal of the American Statistical Association
Volume
96
Issue
456
Start Page
1245
Last Page
1253
DOI
10.1198/016214501753381896
Abstract
Multivariate matching with doses of treatment differs from the treatment-control matching in three ways. First, pairs must not only balance covariates, but also must differ markedly in dose. Second, any two subjects may be paired, so that the matching is nonbipartite, and different algorithms are required. Finally, a propensity score with doses must be used in place of the conventional propensity score. We illustrate multivariate matching with doses using pilot data from a media campaign against drug abuse. The media campaign is intended to change attitudes and intentions related to illegal drugs, and the evaluation compares stated intentions among ostensibly comparable teens who reported markedly different exposures to the media campaign.
Copyright/Permission Statement
This article was published in the Journal of the American Statistical Association, 2001, © Taylor & Francis, available online at: http://www.tandfonline.com/10.1198/016214501753381896.
Keywords
Coherent signed rank test, Equal percent bias reducing, Matching with doses, Nonbipartite matching, Observational studies, Ordinal logit model, Optimal matching, Propensity score
Recommended Citation
Lu, B., Zanutto, E., Hornik, R. C., & Rosenbaum, P. R. (2001). Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse. Journal of the American Statistical Association, 96 (456), 1245-1253. https://doi.org/10.1198/016214501753381896
Date Posted: 07 July 2010
This document has been peer reviewed.