Analytical and graphical goodness of fit methods for parametric survival models with right-censored data

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Título:	Analytical and graphical goodness of fit methods for parametric survival models with right-censored data
Autor/a:	Febrer Galvany, Anna
Otros autores:	Gómez Melis, Guadalupe; Langohr, Klaus
Abstract:	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.
Materia(s):	-Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica -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
Derechos:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Trabajo fin de máster
Editor:	Universitat Politècnica de Catalunya; Universitat de Barcelona
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Febrer Galvany, Anna

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