Weighted Competing Risks Quantile Regression Models and Variable Selection
Weighted Competing Risks Quantile Regression Models and Variable Selection
The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods due to large numbers of irrelevant covariates in practice. In this paper, we study variable selection procedures based on penalized weighted quantile …