Penalized spline smoothing using Kaplan-Meier weights in semiparametric censored regression models
In this article we consider an extension of the penalized splines approach in the context of censored semiparametric modelling using Kaplan-Meier weights to take into account the effect of censorship. We proposed an estimation method and develop statistical inferences in the model. Using various sim...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/397830 |
| Acesso em linha: | https://hdl.handle.net/2117/397830 https://dx.doi.org/10.2436/20.8080.02.119 |
| Access Level: | acceso abierto |
| Palavra-chave: | Survival analysis (Biometry) censored data Kaplan-Meier weights P-splines semiparametric models survival analysis 62N Estadística de l'enginyeria Classificació AMS::62 Statistics::62N Survival analysis and censored data Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| Resumo: | In this article we consider an extension of the penalized splines approach in the context of censored semiparametric modelling using Kaplan-Meier weights to take into account the effect of censorship. We proposed an estimation method and develop statistical inferences in the model. Using various simulation studies we show that the performance of the method is quite satisfactory. A real data set is used to illustrate that the proposed method is comparable to parametric approaches when assuming a probability distribution of the response variable and/or the functional form. However, our proposal does not need these assumptions since it avoids model specification problems. |
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