3 papers
stat.ME2026
A tree-based scan statistic for database studies with time-to-event outcomes
Massimiliano Russo, Georg Hahn, Krista F. Huybrechts +1
Tree-based scan statistics (TBSSs) are machine learning methods for disproportionality analyses. They simultaneously scan for thousands of hierarchically related health outcomes to…
cs.CL2025
A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies
Shirley V Wang, Georg Hahn, Sushama Kattinakere Sreedhara +13
Background: One of the ways to enhance analyses conducted with large claims databases is by validating the measurement characteristics of code-based algorithms used to identify hea…
stat.AP2025
Adaptive multi-wave sampling for efficient chart validation
Georg Hahn, Sebastian Schneeweiss, Shirley Wang
Computable phenotypes are used to characterize patients and identify outcomes in studies conducted using healthcare claims and electronic health record data. Chart review studies e…