Quantile regression for censored data. KU Leuven
Operations Research and Statistics Research Group (ORSTAT) (main work address Leuven), Université catholique de Louvain
One of the statistical challenges in survival analysis is the study of the relationship between a time-to-event response T and a set covariates X. This can be done using a wide variety of regression techniques like, for example, linear, AFT or Cox models. A robust and flexible alternative to these classical models is quantile regression, which has gained considerable popularity and interest in recent years. Many methods have been developed ...