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