Doubly regularized Cox regression for high-dimensional survival data with group structures
Doubly regularized Cox regression for high-dimensional survival data with group structures
The goal of this research is to integrate group structures to the Cox proportional hazards model with ultra highdimensional predictors.By doubly regularizing the partial likelihood based on the Cox model with convex penalties, this method is able to perform group selection and withingroup selection simultaneously.Compared with methods ignoring the structure …