Bayesian analysis of an inverse Gaussian correlated frailty model

Kheiri, S. and Kimber, A. and Meshkani, M.R. (2007) Bayesian analysis of an inverse Gaussian correlated frailty model. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 51 (11). pp. 5317-5326.

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Abstract

In survival analysis frailty is often used to model heterogeneity between individuals or correlation within clusters. Typically frailty is taken to be a continuous random effect, yielding a continuous mixture distribution for survival times. A Bayesian analysis of a correlated frailty model is discussed in the context of inverse Gaussian frailty. An MCMC approach is adopted and the deviance information criterion is used to compare models. As an illustration of the approach a bivariate data set of corneal graft survival times is analysed. (C) 2006 Elsevier B.V. All rights reserved.

Item Type: Article
Additional Information: Conference on Computational Statistics and Data Analysis, Limassol, CYPRUS, OCT 28-31, 2005
Uncontrolled Keywords: continuous mixture distribution; frailty; inverse Gaussian distribution; Markov chain Monte Carlo; proportional hazards; survival analysis
Subjects: W General medicine- Health professions > W.20.55 H9 special topics A-Z (Human expenmentation)
Divisions: Faculty of Health > Department of Epidemiology
Depositing User: zahra bagheri .
Date Deposited: 19 Aug 2017 08:18
Last Modified: 19 Aug 2017 08:18
URI: http://eprints.skums.ac.ir/id/eprint/3163

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