1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.AP2021★ 1 cited
A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
Curtis B. Storlie, Ricardo L. Rojas, Gabriel O. Demuth +18
Most COVID-19 predictive modeling efforts use statistical or mathematical models to predict national- and state-level COVID-19 cases or deaths in the future. These approaches assum…
stat.AP2017★ 1 cited
Prediction and Inference with Missing Data in Patient Alert Systems
Curtis B. Storlie, Terry M. Therneau, Rickey E. Carter +4
We describe the Bedside Patient Rescue (BPR) project, the goal of which is risk prediction of adverse events for non-ICU patients using ~200 variables (vitals, lab results, assessm…