Abstract #300624


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JSM 2002 Abstract #300624
Activity Number: 302
Type: Topic Contributed
Date/Time: Wednesday, August 14, 2002 : 10:30 AM to 12:20 PM
Sponsor: Social Statistics Section*
Abstract - #300624
Title: Matching with Doses in an Observational Study of a Media Campaign Against Drug Abuse
Author(s): Bo Lu*+
Affiliation(s): University of Pennsylvania, Wharton School
Address: 3000 SH-DH, 3620 Locust Walk, Philadelphia, Pennsylvania, 19104, U.S
Keywords: Observational Study ; Non-bipartite Matching ; Propensity Score ; Ordinal Logit Model
Abstract:

In an observational study, the experimenters do not have explicit control over the assignment of subjects to treatment. Because of the lack of randomization, the differences between the outcomes in treated and control groups could reflect either effects caused by treatment, inherent pretreatment differences, or both. A major concern in an observational study is the removal and adjustment of biases. Matching is a commonly used method to remove the biases present in observed covariates. In my paper, I considered multivariate matching with different doses of treatment. Pilot data from a media campaign against drug abuse launched by U.S. Office of National Drug Control Policy was used. Since the children interviewed by the program have varied degrees of exposure to the media campaign, the ideal evaluation would compare kids who not only were similar in terms of baseline characteristics, but also far apart in doses received. To incorporate the idea of multiple doses, the ordinal logit model was implemented to compute the propensity score, which eventually balanced all the 22 selected covariates. Then an optimal non-bipartite matching algorithm was used to construct the matched pairs.


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