Bayesian survival model induced by frailty for lifetime with long-term survivors

Detalhes bibliográficos
Autor(a) principal: Cancho, Vicente G.
Data de Publicação: 2021
Outros Autores: Barriga, Gladys D. C. [UNESP], Cordeiro, Gauss M., Ortega, Edwin M. M., Suzuki, Adriano K.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1111/stan.12236
http://hdl.handle.net/11449/209175
Resumo: It is introduced the proportional hazards frailty model to allow a discrete distribution for the frailty variable. Frailty zero can be interpreted as being immune or cured. It is defined a class of survival models induced by a discrete frailty having a mixed Poisson distribution, which can account for unobserved dispersion. Further, a new regression to evaluate the effects of covariates in the cure fraction is constructed. Several former cure survival models are special cases of the proposed modeling framework. The inferential approach is based on Bayesian methods. Some simulation results are provided to assess the performance of the new regression. Its importance is illustrated by means of an application to colorectal cancer data.
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spelling Bayesian survival model induced by frailty for lifetime with long-term survivorsBayesian procedurecolorectal cancercure rate modelsfrailty&#160modelsurvival modelsIt is introduced the proportional hazards frailty model to allow a discrete distribution for the frailty variable. Frailty zero can be interpreted as being immune or cured. It is defined a class of survival models induced by a discrete frailty having a mixed Poisson distribution, which can account for unobserved dispersion. Further, a new regression to evaluate the effects of covariates in the cure fraction is constructed. Several former cure survival models are special cases of the proposed modeling framework. The inferential approach is based on Bayesian methods. Some simulation results are provided to assess the performance of the new regression. Its importance is illustrated by means of an application to colorectal cancer data.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Sao Paulo, Dept Matemat Aplicada & Estat, ICMC, Sao Carlos, BrazilUniv Estadual Paulista, FEB, Dept Engn Prod, Bauru, SP, BrazilUniv Fed Pernambuco, Dept Estat, CCEN, Recife, PE, BrazilUniv Sao Paulo, Dept Ciencias Exatas, ESALQ, Piracicaba, BrazilUniv Estadual Paulista, FEB, Dept Engn Prod, Bauru, SP, BrazilWiley-BlackwellUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Universidade Federal de Pernambuco (UFPE)Cancho, Vicente G.Barriga, Gladys D. C. [UNESP]Cordeiro, Gauss M.Ortega, Edwin M. M.Suzuki, Adriano K.2021-06-25T11:50:38Z2021-06-25T11:50:38Z2021-02-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article25http://dx.doi.org/10.1111/stan.12236Statistica Neerlandica. Hoboken: Wiley, 25 p., 2021.0039-0402http://hdl.handle.net/11449/20917510.1111/stan.12236WOS:000614754600001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengStatistica Neerlandicainfo:eu-repo/semantics/openAccess2021-10-23T19:23:37Zoai:repositorio.unesp.br:11449/209175Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:56:08.916595Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Bayesian survival model induced by frailty for lifetime with long-term survivors
title Bayesian survival model induced by frailty for lifetime with long-term survivors
spellingShingle Bayesian survival model induced by frailty for lifetime with long-term survivors
Cancho, Vicente G.
Bayesian procedure
colorectal cancer
cure rate models
frailty&#160
model
survival models
title_short Bayesian survival model induced by frailty for lifetime with long-term survivors
title_full Bayesian survival model induced by frailty for lifetime with long-term survivors
title_fullStr Bayesian survival model induced by frailty for lifetime with long-term survivors
title_full_unstemmed Bayesian survival model induced by frailty for lifetime with long-term survivors
title_sort Bayesian survival model induced by frailty for lifetime with long-term survivors
author Cancho, Vicente G.
author_facet Cancho, Vicente G.
Barriga, Gladys D. C. [UNESP]
Cordeiro, Gauss M.
Ortega, Edwin M. M.
Suzuki, Adriano K.
author_role author
author2 Barriga, Gladys D. C. [UNESP]
Cordeiro, Gauss M.
Ortega, Edwin M. M.
Suzuki, Adriano K.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Universidade Federal de Pernambuco (UFPE)
dc.contributor.author.fl_str_mv Cancho, Vicente G.
Barriga, Gladys D. C. [UNESP]
Cordeiro, Gauss M.
Ortega, Edwin M. M.
Suzuki, Adriano K.
dc.subject.por.fl_str_mv Bayesian procedure
colorectal cancer
cure rate models
frailty&#160
model
survival models
topic Bayesian procedure
colorectal cancer
cure rate models
frailty&#160
model
survival models
description It is introduced the proportional hazards frailty model to allow a discrete distribution for the frailty variable. Frailty zero can be interpreted as being immune or cured. It is defined a class of survival models induced by a discrete frailty having a mixed Poisson distribution, which can account for unobserved dispersion. Further, a new regression to evaluate the effects of covariates in the cure fraction is constructed. Several former cure survival models are special cases of the proposed modeling framework. The inferential approach is based on Bayesian methods. Some simulation results are provided to assess the performance of the new regression. Its importance is illustrated by means of an application to colorectal cancer data.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T11:50:38Z
2021-06-25T11:50:38Z
2021-02-05
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1111/stan.12236
Statistica Neerlandica. Hoboken: Wiley, 25 p., 2021.
0039-0402
http://hdl.handle.net/11449/209175
10.1111/stan.12236
WOS:000614754600001
url http://dx.doi.org/10.1111/stan.12236
http://hdl.handle.net/11449/209175
identifier_str_mv Statistica Neerlandica. Hoboken: Wiley, 25 p., 2021.
0039-0402
10.1111/stan.12236
WOS:000614754600001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Statistica Neerlandica
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 25
dc.publisher.none.fl_str_mv Wiley-Blackwell
publisher.none.fl_str_mv Wiley-Blackwell
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128584400764928

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