3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.AP2015★ 3 cited
Fast Out-of-Sample Predictions for Bayesian Hierarchical Models of Latent Health States
Aaron J Fisher, R Yates Coley, Scott L Zeger
Hierarchical Bayesian models can be especially useful in precision medicine settings, where clinicians are interested in estimating the patient-level latent variables associated wi…
stat.ME2015
A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer
R. Yates Coley, Aaron J. Fisher, Mufaddal Mamawala +3
In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model development is motivated by the need t…