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Activity Number: 135
Type: Topic Contributed
Date/Time: Monday, July 30, 2007 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #309089
Title: Robust Propensity Score Analysis for Causal Inference in Observational Studies
Author(s): Asheber Abebe*+ and Joseph W. McKean and Bradley E. Huitema
Companies: Auburn University and Western Michigan University and Western Michigan University
Address: Dept of Mathematics and Statistics, Auburn, AL, 36849,
Keywords: Wilcoxon ; R-estimation ; matching ; program evaluation
Abstract:

The use of propensity scores for matching observations based on pre-treatment variables has seen increasing use in recent years. This method, however, is very sensitive to outlying observations. In this presentation, a robust version of propensity score matching that is based on rank-based procedures is proposed. The large and small sample performance of this new method are evaluated. Case studies using real life data sets are presented.

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Revised September, 2007