Abstract #301770

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JSM 2002 Abstract #301770
Activity Number: 40
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
Sponsor: Section on Health Policy Statistics*
Abstract - #301770
Title: Applying Multiple Imputation Methods to a Multi-center Randomized Clinical Trial: The IMPACT Study
Author(s): Lingqi Tang*+ and Thomas Belin and Juwon Song
Affiliation(s): University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
Address: 10920 Wilshire Blvd. Suite 300, Los Angeles, California, 90024, USA
Keywords: multiple imputation ; longitudinal study ; mental health
Abstract:

IMPACT is a multi-center randomized controlled trial of a disease management program for late life depression. Like many longitudinal clinical trials, this study faces problems of unit-level missing data and drop out. In this paper, we present a case study of two approaches we used. The first is based on multiple imputation of missing response, using the approximate Bayesian bootstrap (Lavori, Dawson and Shera 1995). In the second method, we apply a multivariate extension of the linear mixed model using software developed by Schafer (1998). Two methods are compared and a simulation study is conducted to draw the conclusion.

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Revised March 2002