Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap

dc.contributor.authorCorrente, José Eduardo
dc.contributor.authorChalita, Liciana V. A. S.
dc.contributor.authorMoreira, Jeanete Alves
dc.date.accessioned2023-01-20T18:31:10Z
dc.date.available2023-01-20T18:31:10Z
dc.date.issued2003
dc.description.resumoThis work develops a new methodology in order to discriminate models for interval-censored data based on bootstrap residual simulation by observing the deviance difference from one model in relation to another, according to Hinde (1992). Generally, this sort of data can generate a large number of tied observations and, in this case, survival time can be regarded as discrete. Therefore, the Cox proportional hazards model for grouped data (Prentice&Gloeckler, 1978) and the logistic model (Lawless, 1982) can be fitted by means of generalized linear models. Whitehead (1989) considered censoring to be an indicative variable with a binomial distribution and fitted the Cox proportional hazards model using complementary log-log as a link function. In addition, a logistic model can be fitted using logit as a link function. The proposed methodology arises as an alternative to the score tests developed by Colosimo et al. (2000), where such models can be obtained for discrete binary data as particular cases from the Aranda-Ordaz distribution asymmetric family. These tests are thus developed with a basis on link functions to generate such a fit. The example that motivates this study was the dataset from an experiment carried out on a flax cultivar planted on four substrata susceptible to the pathogen Fusarium oxysoprum. The response variable, which is the time until blighting, was observed in intervals during 52 days. The results were compared with the model fit and the AIC values.pt_BR
dc.identifier.citationCORRENTE, J. E. ; CHALITA, L. V. A. S. ; MOREIRA, J. A. Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap. Journal of Applied Statistics, Scheffield /Inglaterra, v. 30, n.1, p. 37-47, 2003. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/0266476022000018493. Acesso em: 07 dez. 2017pt_BR
dc.identifier.doi10.1080/0266476022000018493
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/51002
dc.languageenpt_BR
dc.publisherJournal of Applied Statisticspt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectModels for interval-censored datapt_BR
dc.subjectCox proportional hazards modelpt_BR
dc.subjectBootstrappingpt_BR
dc.titleChoosing between Cox proportional hazards and logistic models for interval-censored data via bootstrappt_BR
dc.typearticlept_BR

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