| Título : |
Modeling data with semicompeting risks: An application to chronic kidney disease in Colombia |
| Otros títulos : |
Modelo para datos con riesgos semi competitivos: Una aplicación a insuficiencia renal crónica en Colombia |
| Tipo de documento : |
documento electrónico |
| Autores : |
María Isabel Múnera Jaramillo, |
| Fecha de publicación : |
2019 |
| Títulos uniformes : |
Revista Colombiana de Estadística
|
| Idioma : |
Inglés (eng) |
| Palabras clave : |
Archimedean Copula Frailty model Semicompeting risks Survival |
| Resumen : |
In this paper, the structure of semicompeting risks data, dened by Fine, Jiang & Chappell (2001), is studied. Two events are of interest: a nonterminal and a terminal event, the last one, can censor the non-terminal event, but not vice versa. Due to the possible dependence between the times until the occurrence of such events, two approaches are evaluated: modelling the bivariate survival function through Archimedean copulas and a shared frailty model. A simulation is conducted to examine its performance and both approaches are applied to a real data set of patients with chronic kidney disease (CKD). |
| Mención de responsabilidad : |
Elizabeth González Patiño, Gisela Tunes, Maria Isabel Munera |
| DOI (Digital Object Identifier) : |
10.15446/rce.v42n1.68572 |
| Derechos de uso : |
CC BY |
| En línea : |
https://revistas.unal.edu.co/index.php/estad/article/view/68572 |
| Enlace permanente : |
https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=4291 |
Modeling data with semicompeting risks: An application to chronic kidney disease in Colombia = Modelo para datos con riesgos semi competitivos: Una aplicación a insuficiencia renal crónica en Colombia [documento electrónico] / María Isabel Múnera Jaramillo, . - 2019. Obra : Revista Colombiana de EstadísticaIdioma : Inglés ( eng) | Palabras clave : |
Archimedean Copula Frailty model Semicompeting risks Survival |
| Resumen : |
In this paper, the structure of semicompeting risks data, dened by Fine, Jiang & Chappell (2001), is studied. Two events are of interest: a nonterminal and a terminal event, the last one, can censor the non-terminal event, but not vice versa. Due to the possible dependence between the times until the occurrence of such events, two approaches are evaluated: modelling the bivariate survival function through Archimedean copulas and a shared frailty model. A simulation is conducted to examine its performance and both approaches are applied to a real data set of patients with chronic kidney disease (CKD). |
| Mención de responsabilidad : |
Elizabeth González Patiño, Gisela Tunes, Maria Isabel Munera |
| DOI (Digital Object Identifier) : |
10.15446/rce.v42n1.68572 |
| Derechos de uso : |
CC BY |
| En línea : |
https://revistas.unal.edu.co/index.php/estad/article/view/68572 |
| Enlace permanente : |
https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=4291 |
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