2 papers
stat.ME2026
Multi-state Models For Disease Histories Based On Longitudinal Data
Simon Wiegrebe, Johannes Piller, Mathias Gorski +4
Multi-stage disease histories derived from longitudinal data are becoming increasingly available as registry data and biobanks expand. Multi-state models are suitable to investigat…
stat.ML2025
Decorrelated feature importance from local sample weighting
Benedikt Fröhlich, Alison Durst, Merle Behr
Feature importance (FI) statistics provide a prominent and valuable method of insight into the decision process of machine learning (ML) models, but their effectiveness has well-kn…