Generalizing Quantile Regression for Counting Processes With Applications to Recurrent Events
计数过程的广义分位数回归及其重复事件应用
In survival analysis, quantile regression has become a useful approach to account for covariate effects on the distribution of an event time of interest. In this paper, we discuss how quantile regression can be extended to model counting processes, and thus lead to a broader regression framework for survival data. We specifically investigate the proposed modeling of counting processes for recurrent events data. We show that the new recurrent events model retains the…