5 citations · 9 across the 4 of their papers we have counts for
4 papers
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce, Jong-Hyeon Jeong, Yichen Jia +1
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…
CausalDeepCENT: Deep Learning for Causal Prediction of Individual Event Times
Jong-Hyeon Jeong, Yichen Jia
Deep learning (DL) has recently drawn much attention in image analysis, natural language process, and high-dimensional medical data analysis. Under the causal direct acyclic graph…
DeepCENT: Prediction of Censored Event Time via Deep Learning
Jong-Hyeon Jeong, Yichen Jia
With the rapid advances of deep learning, many computational methods have been developed to analyze nonlinear and complex right censored data via deep learning approaches. However,…
Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg
Yichen Jia, Jong-Hyeon Jeong
The computational prediction algorithm of neural network, or deep learning, has drawn much attention recently in statistics as well as in image recognition and natural language pro…