2 citations · 2 across the 1 of their papers we have counts for
3 papers
stat.ME2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values
Dai Feng, Lili Zhao
There has been increasing interest in modeling survival data using deep learning methods in medical research. In this paper, we proposed a Bayesian hierarchical deep neural network…
stat.ME2020★ 2 cited
A Bayesian Mixture Model for Changepoint Estimation Using Ordinal Predictors
Emily Roberts, Lili Zhao
In regression models, predictor variables with inherent ordering, such as tumor staging ranging and ECOG performance status, are commonly seen in medical settings. Statistically, i…
stat.ML2019
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values
Lili Zhao, Dai Feng
There has been increasing interest in modelling survival data using deep learning methods in medical research. Current approaches have focused on designing special cost functions t…