A regularized Cox model for selecting interactions and time-varying covariate effects
Introduction: The Cox proportional hazards model is a widely used method for analyzing clinical time-to-event data. The basic form of the model assumes the covariate effects on the hazard function to be constant over time. However, in many clinical settings, covariate effects may vary with time, and [for full text, please go to the a.m. URL]
Institutions
- Koblenz University of Applied Sciences (DE)
- University Hospital Bonn (DE)
- Institut für Medizinische Biometrie, Informatik und Epidemiologie (DE)
Publication Details
- Journal
- German Medical Science (German Research Foundation)
- Published
- 2025-11-03
- DOI
- https://doi.org/10.3205/25gmds083
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00