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Analytical and graphical goodness of fit methods for parametric survival models with right-censored data
Febrer Galvany, Anna
Gómez Melis, Guadalupe; Langohr, Klaus
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.
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
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/masterThesis
Universitat Politècnica de Catalunya;
Universitat de Barcelona
         

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