Discrete Weibull regression model with cure fraction in survival data
Descripción del Articulo
This paper presents a regression model for discrete time data with cure fraction. For this purpose, we considered a mixture model, in which times are modeled through the discrete Weibull distribution and the cure probability modeled with covariates by using the logit link function. Considering that...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2019 |
Institución: | Universidad Nacional de Trujillo |
Repositorio: | Revistas - Universidad Nacional de Trujillo |
Lenguaje: | español |
OAI Identifier: | oai:ojs.revistas.unitru.edu.pe:article/2450 |
Enlace del recurso: | https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450 |
Nivel de acceso: | acceso abierto |
Materia: | Mixture model regression Discrete Weibull distribution EM algorithm Modelo de mistura regressao distribuicao Weibull discreta algoritmo EM |
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Discrete Weibull regression model with cure fraction in survival dataModelo de regressao Weibull discreto com fracao de cura em dados de sobrevivenciaSilva, Carolina A.G. Otiniano, Cira E.Y. Nakano, EduardoMixture modelregressionDiscrete Weibull distributionEM algorithmModelo de misturaregressaodistribuicao Weibull discretaalgoritmo EMThis paper presents a regression model for discrete time data with cure fraction. For this purpose, we considered a mixture model, in which times are modeled through the discrete Weibull distribution and the cure probability modeled with covariates by using the logit link function. Considering that the model is a mixture, the estimation of the parameters was performed by EM algorithm. The behavior of the estimating algorithm was tested with Monte Carlo simulation experiments and an application for real data was added.Este trabalho apresenta a formulacao de um modelo de regressao para dados de tempo discretos com fracao de cura. Para tanto, foi considerado um modelo de mistura, no qual os tempos sao modelados através da distribuicao Weibull discreta e a probabilidade de cura é modelada a partir de covariáveis utilizando a funcao de ligacao logito. Por se tratar de um modelo de mistura a estimacao dos parametros do modelo é feita via o algoritmo EM. O comportamento do algoritmo de estimacao é testado com vários experimentos de simulacao Monte Carlo e uma aplicacao em dados reais foi adicionada.National University of Trujillo - Academic Department of Mathematics2019-07-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450Selecciones Matemáticas; Vol. 6 No. 01 (2019): January - July; 84-97Selecciones Matemáticas; Vol. 6 Núm. 01 (2019): Enero-Julio; 84-97Selecciones Matemáticas; v. 6 n. 01 (2019): Enero-Julio; 84-972411-1783reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUspahttps://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450/2486https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450/2503Derechos de autor 2019 Selecciones Matemáticasinfo:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/24502022-10-21T18:52:41Z |
dc.title.none.fl_str_mv |
Discrete Weibull regression model with cure fraction in survival data Modelo de regressao Weibull discreto com fracao de cura em dados de sobrevivencia |
title |
Discrete Weibull regression model with cure fraction in survival data |
spellingShingle |
Discrete Weibull regression model with cure fraction in survival data Silva, Carolina A. Mixture model regression Discrete Weibull distribution EM algorithm Modelo de mistura regressao distribuicao Weibull discreta algoritmo EM |
title_short |
Discrete Weibull regression model with cure fraction in survival data |
title_full |
Discrete Weibull regression model with cure fraction in survival data |
title_fullStr |
Discrete Weibull regression model with cure fraction in survival data |
title_full_unstemmed |
Discrete Weibull regression model with cure fraction in survival data |
title_sort |
Discrete Weibull regression model with cure fraction in survival data |
dc.creator.none.fl_str_mv |
Silva, Carolina A. G. Otiniano, Cira E. Y. Nakano, Eduardo |
author |
Silva, Carolina A. |
author_facet |
Silva, Carolina A. G. Otiniano, Cira E. Y. Nakano, Eduardo |
author_role |
author |
author2 |
G. Otiniano, Cira E. Y. Nakano, Eduardo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Mixture model regression Discrete Weibull distribution EM algorithm Modelo de mistura regressao distribuicao Weibull discreta algoritmo EM |
topic |
Mixture model regression Discrete Weibull distribution EM algorithm Modelo de mistura regressao distribuicao Weibull discreta algoritmo EM |
description |
This paper presents a regression model for discrete time data with cure fraction. For this purpose, we considered a mixture model, in which times are modeled through the discrete Weibull distribution and the cure probability modeled with covariates by using the logit link function. Considering that the model is a mixture, the estimation of the parameters was performed by EM algorithm. The behavior of the estimating algorithm was tested with Monte Carlo simulation experiments and an application for real data was added. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-07-21 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450 |
url |
https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450/2486 https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2450/2503 |
dc.rights.none.fl_str_mv |
Derechos de autor 2019 Selecciones Matemáticas info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2019 Selecciones Matemáticas |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
National University of Trujillo - Academic Department of Mathematics |
publisher.none.fl_str_mv |
National University of Trujillo - Academic Department of Mathematics |
dc.source.none.fl_str_mv |
Selecciones Matemáticas; Vol. 6 No. 01 (2019): January - July; 84-97 Selecciones Matemáticas; Vol. 6 Núm. 01 (2019): Enero-Julio; 84-97 Selecciones Matemáticas; v. 6 n. 01 (2019): Enero-Julio; 84-97 2411-1783 reponame:Revistas - Universidad Nacional de Trujillo instname:Universidad Nacional de Trujillo instacron:UNITRU |
instname_str |
Universidad Nacional de Trujillo |
instacron_str |
UNITRU |
institution |
UNITRU |
reponame_str |
Revistas - Universidad Nacional de Trujillo |
collection |
Revistas - Universidad Nacional de Trujillo |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
|
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1845886944498679808 |
score |
13.377112 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).