2 citations · 2 across the 3 of their papers we have counts for
3 papers
Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data
P. Miranda Afonso, D. Rizopoulos, A. K. Palipana +4
The joint modeling of longitudinal and time-to-event outcomes has become a popular tool in follow-up studies. However, fitting Bayesian joint models to large datasets, such as pati…
Joint Hierarchical Gaussian Process Model with Application to Forecast in Medical Monitoring
Leo L. Duan, John P. Clancy, Rhonda D. Szczesniak
A novel extrapolation method is proposed for longitudinal forecasting. A hierarchical Gaussian process model is used to combine nonlinear population change and individual memory of…
BET: Bayesian Ensemble Trees for Clustering and Prediction in Heterogeneous Data
Leo L. Duan, John P. Clancy, Rhonda D. Szczesniak
We propose a novel "tree-averaging" model that utilizes the ensemble of classification and regression trees (CART). Each constituent tree is estimated with a subset of similar data…