Abstract #300282

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JSM 2003 Abstract #300282
Activity Number: 43
Type: Topic Contributed
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #300282
Title: Models for Nonresponse Applied to Longitudinal Studies of Late-Life Depression
Author(s): Tonya K. Marmon*+ and Robert E. Weiss
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: Health Services Research Center, Neuropsychiatric Institute, Los Angeles, CA, 90024-6523,
Keywords: Dropout ; Bayesian analysis
Abstract:

Nonresponse in longitudinal studies causes problems with study design and analysis. Most people treat all nonresponse as the same. We distinguish between two types of nonresponse--dropout and in-study nonresponse. In-study nonresponse is when the subject does not respond at one isolated follow-up point, but is still enrolled in the study, and could well respond at one of the remaining follow-up points. Dropout, in contrast, is permanent nonresponse, when the subject refuses or is unable to participate in any further follow-ups and decides to disenroll from the study. We develop and fit Bayesian models to determine what covariates predict dropout and in-study nonresponse.

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