A Bayesian analysis of the Conway-Maxwell-Poisson cure rate model
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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| Data(s) |
02/10/2013
02/10/2013
2012
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| Resumo |
The purpose of this paper is to develop a Bayesian analysis for the right-censored survival data when immune or cured individuals may be present in the population from which the data is taken. In our approach the number of competing causes of the event of interest follows the Conway-Maxwell-Poisson distribution which generalizes the Poisson distribution. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian procedure for the proposed model. Also, some discussions on the model selection and an illustration with a real data set are considered. CNPq, Brazil [473333/2008-2, 305705/2009-1] CNPq (Brazil) |
| Identificador |
STATISTICAL PAPERS, NEW YORK, v. 53, n. 1,pp. 165-176, FEB, 2012 0932-5026 http://www.producao.usp.br/handle/BDPI/33972 10.1007/s00362-010-0326-5 |
| Idioma(s) |
eng |
| Publicador |
SPRINGER NEW YORK |
| Relação |
STATISTICAL PAPERS |
| Direitos |
restrictedAccess Copyright SPRINGER |
| Palavras-Chave | #SURVIVAL ANALYSIS #CURE RATE MODELS #LONG-TERM SURVIVAL MODELS #CONWAY-MAXWELL-POISSON (COM-POISSON) DISTRIBUTION #BAYESIAN ANALYSIS #WEIBULL DISTRIBUTION #COUNT DATA #SURVIVAL MODELS #OVERDISPERSION #MELANOMA #STATISTICS & PROBABILITY |
| Tipo |
article original article publishedVersion |
