A new survival model with surviving fraction: An application to colorectal cancer data

Registro completo de metadados
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorBarriga, Gladys D. C.-
Autor(es): dc.creatorCancho, Vicente G.-
Autor(es): dc.creatorGaribay, Daniel-
Autor(es): dc.creatorCordeiro, Gauss M.-
Autor(es): dc.creatorOrtega, Edwin M. M.-
Data de aceite: dc.date.accessioned2021-03-11T01:12:44Z-
Data de disponibilização: dc.date.available2021-03-11T01:12:44Z-
Data de envio: dc.date.issued2019-10-04-
Data de envio: dc.date.issued2019-10-04-
Data de envio: dc.date.issued2019-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1177/0962280218786053-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/184696-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/184696-
Descrição: dc.descriptionWe propose a new survival model for lifetime data in the presence of surviving fraction and obtain some of its properties. Its genesis is based on extensions of the promotion time cure model, where an extra parameter controls the heterogeneity or dependence of an unobserved number of lifetimes. We construct a regression model to evaluate the effects of covariates in the cured fraction. We discuss inference aspects for the proposed model in a classical approach, where some maximum likelihood tools are explored. Further, an expectation maximization algorithm is developed to calculate the maximum likelihood estimates of the model parameters. We also perform an empirical study of the likelihood ratio test in order to compare the promotion time cure and the proposed models. We illustrate the usefulness of the new model by means of a colorectal cancer data set.-
Formato: dc.format2665-2680-
Idioma: dc.languageen-
Publicador: dc.publisherSage Publications Ltd-
Relação: dc.relationStatistical Methods In Medical Research-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectColorectal cancer-
Palavras-chave: dc.subjectcured fraction-
Palavras-chave: dc.subjectcure rate model-
Palavras-chave: dc.subjectEM algorithm-
Palavras-chave: dc.subjectlikelihood function-
Palavras-chave: dc.subjectsurvival model-
Título: dc.titleA new survival model with surviving fraction: An application to colorectal cancer data-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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