JSM 2011 Online Program

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Abstract Details

Activity Number: 168
Type: Contributed
Date/Time: Monday, August 1, 2011 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #302688
Title: Bayesian Analysis and Applications of Unified Competing Risks Cure Rate Models
Author(s): Suchitrita Sarkar*+ and Sanjib Basu
Companies: Northern Illinois University and Northern Illinois University
Address: Du Sable 374, DeKalb, IL, 60115,
Keywords: Survival Analysis ; Bayesian Analysis ; Cure Rate ; Competing Risks
Abstract:

Important measures of recovery from cancer include survival rate or cure fraction. However, when the cause of death is one among several possible causes, it becomes difficult to get a precise estimate of the survival rate from cancer. The competing risks approach, which takes into account the risks occurring simultaneously from cancer and other causes, is appropriate here. When cure is possible, we see that the survival curve forms a plateau after sufficient follow-up. In such cases, the use of cure rate models is more realistic. In this article, we develop a Unified Competing Risks Cure Rate Model within the Yakovlev cure rate model framework. We describe Bayesian analysis of this model and discuss the conceptual and methodological issues related to model building and model selection. This model is generalized to a wider framework using latent factors; the activation of at least one of these factors is assumed to cause cancer. These models are motivated and illustrated by survival data on female breast cancer patients from the SEER program of the National Cancer Institute. We further compare the performance of the proposed models with other competing models in simulated data sets.


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