Laplacian-P-splines for Bayesian inference in the mixture cure model Universiteit Hasselt KU Leuven Universiteit Antwerpen
The mixture cure model for analyzing survival data is characterized by the assumption that the population under study is divided into a group of subjects who will experience the event of interest over some finite time horizon and another group of cured subjects who will never experience the event irrespective of the duration of follow-up. When using the Bayesian paradigm for inference in survival models with a cure fraction, it is common ...