scikit-survival

Installation
SKILL.md

scikit-survival

Scope

Use this skill for scikit-survival 0.28.0 workflows involving:

  • right-censored structured outcomes;
  • Cox PH, Coxnet, IPC ridge, survival trees, forests, boosting, and SVMs;
  • discrimination, prediction error, calibration-oriented checks, and time-dependent prediction;
  • nonparametric cumulative incidence with competing risks;
  • scikit-learn pipelines, nested model selection, and reproducible reports.

scikit-survival primarily models right-censored outcomes. Its built-in competing-risk support is nonparametric cumulative incidence; it does not provide Fine-Gray regression. Do not present model output as clinical advice, causal evidence, or proof of clinical utility.

Current release and installation

Installs
980
GitHub Stars
33.2K
First Seen
Apr 9, 2026
scikit-survival — k-dense-ai/scientific-agent-skills