JSM 2005 - Toronto

Abstract #304287

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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 - #304287
Title: Dynamic Models for Recurrent Event Data
Author(s): Changhong Song*+ and Lynn Kuo
Companies: University of Connecticut and University of Connecticut
Address: 215 Glenbrook Road, Storrs, CT, 06269, United States
Keywords: Recurrent event ; random effects ; hazard ; frailty ; dynamic ; correlation
Abstract:

An extension of Cox proportional hazards models with random effects has been proposed to analyze recurrent event data. We first review these models in terms of data structure; risk set; baseline hazard function; and approaches of accounting for within-subject correlation between events that include conditional, marginal, and random effects (frailty) approaches. We explore two additional components to these models: dynamic correlated hazard coefficients and dynamic correlated frailties. We develop Markov chain Monte Carlo algorithms for updating the evolution models and illustrate the advantages of these new models using simulated and real datasets.

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