A multivariate survival model induced by discrete frailty

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorCancho, Vicente G.-
Autor(es): dc.creatorSuzuki, Adriano K.-
Autor(es): dc.creatorBarriga, Gladys D. C. [UNESP]-
Autor(es): dc.creatorEspirito Santo, Ana P. J. do-
Data de aceite: dc.date.accessioned2022-02-22T00:06:15Z-
Data de disponibilização: dc.date.available2022-02-22T00:06:15Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-08-11-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1080/03610918.2020.1806323-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/195590-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/195590-
Descrição: dc.descriptionFrailty models are generally used to model heterogeneity and dependence between individuals. The distribution of the frailty variable is often assumed to be continuous. However, there are situations where a discretely-distributed frailty may be appropriate. On the other hand, when a cure rate is present in survival data, these continuous distributions may not be appropriate since individuals with long-term survival times encompass zero frailty. Having zero frailty can be interpreted as being immune or cured (long-term survivors). In this paper, we propose a new multivariate survival model induced by frailty for multivariate lifetime data in the presence of surviving fractions and examine some of its properties. The inferential approach exploits the Bayesian methods. We provide some simulation results to assess the performance of the proposed model. Furthermore, we illustrate the performance of the proposed model by means of a real data set.-
Descrição: dc.descriptionUniv Sao Paulo, Dept Appl Math & Stat, Ave Trabalhador Saocarlense 400, BR-13566590 Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Fac Engn Bauru, Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Fac Engn Bauru, Sao Paulo, Brazil-
Formato: dc.format19-
Idioma: dc.languageen-
Publicador: dc.publisherTaylor & Francis Inc-
Relação: dc.relationCommunications In Statistics-simulation And Computation-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectCured fraction-
Palavras-chave: dc.subjectFrailty models-
Palavras-chave: dc.subjectGibbs sampling-
Palavras-chave: dc.subjectMultivariate survival models-
Título: dc.titleA multivariate survival model induced by discrete frailty-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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