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:: Volume 2, Issue 1 (9-2008) ::
J. of Stat. Sci. 2008, 2(1): 73-95 Back to browse issues page
Hierarchical Bayesian Analysis of Cure Model with Correlated Frailty
Mitra Rahimzadeh, Ebrahim Hajizadeh , Farzad Eskandari, Soleyman Kheiri
Abstract:   (21499 Views)
In the survival analysis, when there is a cure fraction and the occurrence times of events are correlated, the cure frailty model is utilized. The main objective is to propose a method of analysis for two types of correlated frailty in the non-mixture cured model in order to separate the individual and shared heterogeneity between subjects. The cure models with correlated frailty and promotion time are considered. In both models, the likelihood function are based on piecewise exponential distribution for hazard function. To estimate the parameters, hierarchical Bayesian modeling is employed. Due to non-closed forms of the posteriors, they are estimated by MCMC algorithms. The Cox correlated frailty model is used as a benchmark and models are compared by DIC Criterion . The results show the superiority of cure models with correlated frailty.
Keywords: Cure models, Correlated frailty, Piecewise hazard.
Full-Text [PDF 508 kb]   (2733 Downloads)    
Type of Study: Research | Subject: Biostatistics
Received: 2011/07/4 | Accepted: 2013/08/13
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Rahimzadeh M, Hajizadeh E, Eskandari F, Kheiri S. Hierarchical Bayesian Analysis of Cure Model with Correlated Frailty. J. of Stat. Sci.. 2008; 2 (1) :73-95
URL: http://jss.irstat.ir/article-1-15-en.html


Volume 2, Issue 1 (9-2008) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences
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