Abstract #300635


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JSM 2002 Abstract #300635
Activity Number: 379
Type: Topic Contributed
Date/Time: Thursday, August 15, 2002 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #300635
Title: A Goodness of Fit Test for Competing Risks for QoL
Author(s): Catherine Huber-Carol*+
Affiliation(s): Université Paris 5 France
Address: H409, 45, rue des Saints-Pères, PARIS, International, 75 006, FRANCE
Keywords: Competing risks ; Censoring ; Goodness of fit ; Quality of Life ; Transition functions ; Semi-Markov
Abstract:

The motivation for this paper is the analysis of a cohort where not only the survival time of the patients but also the quality of their life, classified into a finite number of states, are under study. All results obtained here may be useful in any other multi-state process context. The behavior of the process is assumed to be semi-Markov in order to weaken the very often used, and often too restrictive, Markov assumption. The most usual model in this framework is the Independent Competing Risk (ICR) model. Based on an estimation of the direct transition probabilities in a general semi-Markov model, (GSM), embedding (ICR), we derive a goodness of fit test for the Independent Competitive Risks model. Simulations show that the proposed test works well.


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