A flexible model for survival data with a cure rate: a Bayesian approach

In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populations with a cure rate. We consider a cure rate model based on the negative binomial distribution, encompassing as a special case the promotion time cure model. Bayesian analysis is based on Markov chain Monte Carlo (MCMC) methods. We also present some discussion on model selection and an illustration with a real data set.

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Year of publication:	2011
Authors:	Cancho, Vicente ; Rodrigues, Josemar ; Castro, Mario de
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 38.2011, 1, p. 57-70
Publisher:	Taylor & Francis Journals
Subject:	survival analysis \| cure rate models \| long-term survival models \| negative binomial distribution \| Bayesian analysis \| piecewise exponential distribution \| Weibull distribution

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10008773845