JSM 2005 - Toronto

Abstract #304137

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 441
Type: Topic Contributed
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #304137
Title: Bayesian Analysis for Studies with Outcome-dependent Clinic Visits
Author(s): Debajyoti Sinha*+ and Bani Mallick and Stuart Lipsitz and Duchwan Ryu
Companies: Medical University of South Carolina and Texas A&M University and Medical University of South Carolina and Texas A&M University
Address: 135 Cannon Street, Charleston, SC, 29425, United States
Keywords: Byesian regression ; frailty ; smoothing spline
Abstract:

In many observational longitudinal studies, individuals are not observed at prespecified time points, but instead are measured at irregular intervals. Furthermore, the time of a followup measurement for a given individual may depend on the history of outcomes and previous clinic visits. Here, we propose Bayesian parametric and nonparametric regression methods by introducing a subject-specific latent variable to allow different correlations for different individuals. A simple simulation study shows that nonparametric regression improves the estimation of true regression line. In addition, the subject-specific random effect alleviates the effect of misspecified correlation structure. We develop Bayesian methods of model assessment customized for this type of data by extending crossvalidation and Kullback-Leibner distance ideas. We illustrate our new methodology using data from a longitudinal observational study (Lipshultz et al. 1995) that explored the cardiotoxic effects of doxorubicin chemotherapy for the treatment of acute lymphoblastic leukemia in children.

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Revised March 2005