Title of article
A flexible model for survival data with a cure rate: a Bayesian approach
Author/Authors
Vicente G. Cancho، نويسنده , , Josemar Rodrigues&M?rio de Castro، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
14
From page
57
To page
70
Abstract
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
Keywords
Survival analysis , cure rate models , long-term survival models , Negative binomial distribution , Bayesian analysis , Piecewise exponential distribution , Weibull distribution
Journal title
JOURNAL OF APPLIED STATISTICS
Serial Year
2011
Journal title
JOURNAL OF APPLIED STATISTICS
Record number
712518
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