17 citations · 21 across the 4 of their papers we have counts for
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stat.ME2023
Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines
Ali Turfah, Xiaoquan Wen, Lili Zhao
The vaccine adverse event reporting system (VAERS) is a vital resource for post-licensure vaccine safety monitoring and has played a key role in assessing the safety of COVID-19 va…
stat.ME2021★ 2 cited
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…