6 citations · 7 across the 4 of their papers we have counts for
4 papers
Analysis of time-to-event for observational studies: Guidance to the use of intensity models
Per Kragh Andersen, Maja Pohar Perme, Hans C van Houwelingen +6
This paper provides guidance for researchers with some mathematical background on the conduct of time-to-event analysis in observational studies based on intensity (hazard) models.…
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Yanshan Wang, Yiqing Zhao, Terry M. Therneau +6
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learnin…
A Bayesian Approach to Multi-State Hidden Markov Models: Application to Dementia Progression
Jonathan P Williams, Curtis B Storlie, Terry M Therneau +2
People are living longer than ever before, and with this arises new complications and challenges for humanity. Among the most pressing of these challenges is of understanding the r…
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…