dc.creatorRodrigues, Josemar
dc.creatorBalakrishnan, Narayanaswamy
dc.creatorCordeiro, Gauss M.
dc.creatorCastro, Mário de
dc.creatorCancho, Vicente Garibay
dc.date.accessioned2017-06-08T22:32:10Z
dc.date.accessioned2018-07-04T17:10:03Z
dc.date.available2017-06-08T22:32:10Z
dc.date.available2018-07-04T17:10:03Z
dc.date.created2017-06-08T22:32:10Z
dc.date.issued2015
dc.identifierJournal of Statistical Computation and Simulation,London : Taylor and Francis,v. 85, n. 14, p. 2860-2873, 2015
dc.identifier0094-9655
dc.identifierhttp://www.producao.usp.br/handle/BDPI/51341
dc.identifier10.1080/00949655.2014.943223
dc.identifierhttp://dx.doi.org/10.1080/00949655.2014.943223
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1645561
dc.description.abstractIn this paper, we formulate a simple latent cure rate model with repair mechanism for a cell exposed to radiation. This latent approach is a flexible alternative to the models proposed by Klebanov et al. [A stochastic model of radiation carcinogenesis: latent time distributions and their properties. Math Biosci. 1993;18:51–75], Kim et al. [A new threshold regression model for survival data with a cure fraction. Lifetime Data Anal. 2011;17:101–122], and is along the lines of the destructive cure rate model formulated recently by Rodrigues et al. [Destructive weighted Poisson cure rate model. Lifetime Data Anal. 2011b;17:333–346]. A new version of the modified Gompertz model and the promotion cure rate model that takes into account the first passage time of reaching the critical point are discussed, and the estimation of tumor size at detection is then addressed from the Bayesian viewpoint. In addition, a simulation study and an application to real data set illustrate the usefulness of the proposed cure rate model.
dc.languageeng
dc.publisherTaylor and Francis
dc.publisherLondon
dc.relationJournal of Statistical Computation and Simulation
dc.rightsCopyright Taylor and Francis
dc.rightsrestrictedAccess
dc.subjectBayesian paradigm
dc.subjectcarcinogenesis
dc.subjectcompeting causes
dc.subjectcure rate model
dc.subjectfirst hitting time
dc.subjectmodified Gompertz distribution
dc.subjectprobability-generating function
dc.subjectstochastic processes
dc.subjectsurvival analysis
dc.subjectweighted Poisson distribution
dc.subjectthreshold regression
dc.titleLatent cure rate model under repair system and threshold effect
dc.typeArtículos de revistas


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