JSM 2005 - Toronto

Abstract #304725

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 443
Type: Topic Contributed
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #304725
Title: Modeling Longitudinal and Recurrent Event Outcomes with Application
Author(s): Elizabeth Slate*+ and Edsel Pena and Jun Han
Companies: Medical University of South Carolina and University of South Carolina and University of South Carolina
Address: Dept. of Biostatistics, Bioinformatics and Epidemiology, Charleston, SC, 29425, United States
Keywords: joint model ; longitudinal data ; recurrent event ; latent class ; mixture model
Abstract:

This talk addresses analysis of longitudinal and recurrent event outcomes. Such outcomes arise in a variety of applications, including a broad array of clinical situations where a longitudinal biomarker may provide information about recurring disease onsets or symptoms. The model accommodates a number of features of the recurrent event process that have particularly appealing interpretation in clinical settings. These features include a baseline hazard governed by biological age, rather than calendar time, and an effect for the accumulating event history on the hazard. Association between the longitudinal and recurrent event processes is captured through a latent class structure, which can aid discovery of subpopulations with distinct outcome patterns. Model interpretation is illustrated through application to real data.

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Revised March 2005