dc.creator | Rodrigues, Josemar | |
dc.creator | Balakrishnan, Narayanaswamy | |
dc.creator | Cordeiro, Gauss M. | |
dc.creator | Castro, Mário de | |
dc.creator | Cancho, Vicente Garibay | |
dc.date.accessioned | 2017-06-08T22:32:10Z | |
dc.date.accessioned | 2018-07-04T17:10:03Z | |
dc.date.available | 2017-06-08T22:32:10Z | |
dc.date.available | 2018-07-04T17:10:03Z | |
dc.date.created | 2017-06-08T22:32:10Z | |
dc.date.issued | 2015 | |
dc.identifier | Journal of Statistical Computation and Simulation,London : Taylor and Francis,v. 85, n. 14, p. 2860-2873, 2015 | |
dc.identifier | 0094-9655 | |
dc.identifier | http://www.producao.usp.br/handle/BDPI/51341 | |
dc.identifier | 10.1080/00949655.2014.943223 | |
dc.identifier | http://dx.doi.org/10.1080/00949655.2014.943223 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1645561 | |
dc.description.abstract | In 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.language | eng | |
dc.publisher | Taylor and Francis | |
dc.publisher | London | |
dc.relation | Journal of Statistical Computation and Simulation | |
dc.rights | Copyright Taylor and Francis | |
dc.rights | restrictedAccess | |
dc.subject | Bayesian paradigm | |
dc.subject | carcinogenesis | |
dc.subject | competing causes | |
dc.subject | cure rate model | |
dc.subject | first hitting time | |
dc.subject | modified Gompertz distribution | |
dc.subject | probability-generating function | |
dc.subject | stochastic processes | |
dc.subject | survival analysis | |
dc.subject | weighted Poisson distribution | |
dc.subject | threshold regression | |
dc.title | Latent cure rate model under repair system and threshold effect | |
dc.type | Artículos de revistas | |