Data Science & Analytics
Scikit Survival
A comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit Cox/RSF/GB models or Survival SVMs, evaluate with C-index/Brier score, or handle competing risks.
- Publisher / source
- aipoch/medical-research-skills (found on GitHub top repositories)
- Upstream record
- aipoch/medical-research-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-07
- Content fingerprint
3598075eb53007a5bfb3e736b85fde981e47fc5ee92effbd51d19b21bb6f45fb