JSM 2004 - Toronto

Abstract #300481

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Activity Number: 381
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #300481
Title: Hierarchical Bayesian Analysis of Competing Risk Frailty Models for Duration Data with Correlated Failure Events
Author(s): Getachew A. Dagne*+ and James Snyder
Companies: University of South Florida and Wichita State University
Address: Dept. of Epidemiology and Biostatistics, Tampa, FL, 33612,
Keywords: behavioral observation ; random effects ; survival analysis ; Bayesian method ; competing risks
Abstract:

Competing risk duration models are used to analyze the time patterns of interactions of parents and children, as well as the effects of covariates on transition rates from one state to another. Such duration data often contain repeated events in addition to competing risks. We propose statistical models that analyze the events simultaneously taking dependencies among the separate competing events into account. We specify a flexible parametric proportional competing risks model which permits unrestricted correlations among the risks using Bayesian approach. The methods will be applied to event history of child emotion display in parent-child interactions.

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