Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis Tim Pearce

This paper considers doing quantile regression on censored data using neural networks (NNs). This adds to the survival analysis toolkit by allowing direct prediction of the target variable, along with a distribution-free characterisation of uncertainty, using a flexible function approximator.