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

dc.creatorCANCHO, Vicente G.
dc.creatorRODRIGUES, Josemar
dc.creatorCASTRO, Mario de
dc.date.accessioned2012-10-20T03:34:38Z
dc.date.accessioned2018-07-04T15:38:31Z
dc.date.available2012-10-20T03:34:38Z
dc.date.available2018-07-04T15:38:31Z
dc.date.created2012-10-20T03:34:38Z
dc.date.issued2011
dc.identifierJOURNAL OF APPLIED STATISTICS, v.38, n.1, p.57-70, 2011
dc.identifier0266-4763
dc.identifierhttp://producao.usp.br/handle/BDPI/28897
dc.identifier10.1080/02664760903254052
dc.identifierhttp://dx.doi.org/10.1080/02664760903254052
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1625539
dc.description.abstractIn 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 dataset.
dc.languageeng
dc.publisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
dc.relationJournal of Applied Statistics
dc.rightsCopyright ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
dc.rightsrestrictedAccess
dc.subjectsurvival analysis
dc.subjectcure rate models
dc.subjectlong-term survival models
dc.subjectnegative binomial distribution
dc.subjectBayesian analysis
dc.subjectpiecewise exponential distribution
dc.subjectWeibull distribution
dc.titleA flexible model for survival data with a cure rate: a Bayesian approach
dc.typeArtículos de revistas


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