Package: curesurv 0.1.2

Introduction | Installation | Fitting a classical mixture cure model in excess hazard modelling setting (M0) | Importing the dataset | Extracting the population background mortality from the French life table | Fitting a conventional mixture cure model with the uncured survival following a Weibull distribution | Fitting a new mixture cure model with the uncured survival (M1) allowing the background mortality to be corrected | How to select the best model | Plot of net survival, excess hazard and probability of being cured for the two models | Predictions by varying age values | Predictions by varying time since diagnosis and for age 50 and 70 | Session info | License | Acknowledgments | References

How to analyse survival data using Time-To-Null excess hazard model (TNEH model) | Additive hazard assumption in net survival setting | TNEH model | Instantaneous excess hazard | Cumulative excess hazard | Net survival | The cure fraction $\pi$ | The probability P(t) | Fit of tneh model using R | Without covariates | Prediction | Plot of different estimators (hazard, survival, probability of being cured conditionally on being alive) | Cure fraction estimation precision | Time-to-cure estimation | With covariates acting both on parameters tau and alpha | Predictions : | Plot of main indicators as a function of time for two patients of age mean and age max | Plot of the main indicators 2 years after diagnosis, for patients of varying ages | With covariates acting only on parameters adjusting the time-to-null excess hazard tau | Plot of excess hazard at varying times for 3 different ages at diagnosis (33.3, 51.6, 69,1) | With covariates acting only on scale parameter alpha | Predictions | Plot of estimation of probability P(t) of being cured at a given time t after diagnosis knowing that he/she was alive up to time t | Comparing models | Session info