Analytical and graphical goodness of fit methods for parametric survival models with right-censored data
Validation of a parametric survival model is a very important but not straightforward task in the presence of censored data. In literature not much references are available about this topic, so in this project we collect and present some goodness of fit methods for parametric survival models when da...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099.1/26129 |
| Acceso en línea: | https://hdl.handle.net/2099.1/26129 |
| Access Level: | acceso abierto |
| Palabra clave: | Survival analysis (Biometry) Goodness of fit Right-censoring data Kolmogorov-Smirnov test Probability plots Cumulative hazard plots Anàlisi de supervivència (Biometria) Classificació AMS::62 Statistics::62N Survival analysis and censored data Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Sumario: | Validation of a parametric survival model is a very important but not straightforward task in the presence of censored data. In literature not much references are available about this topic, so in this project we collect and present some goodness of fit methods for parametric survival models when data present right-censored observations. These methods have been also implemented in R with the aim to create a local library with function for assess goodness of fit to right-censored data. |
|---|