bio-clinical-biostatistics-survival-analysis

bio-clinical-biostatistics-survival-analysis is a Statistical modelling skill for AI agents, published by GPTomics in the bioSkills repository on GitHub. Skillspace rates bio-clinical-biostatistics-survival-analysis C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Performs time-to-event analysis for clinical trials including Cox proportional hazards regression with PH diagnostics, restricted mean survival time (RMST) under non-PH, competing risks via Fine-Gray vs cause-specific Cox, weighted log-rank and MaxCombo for non-proportional hazards, recurrent events (Andersen-Gill, PWP, WLW), and interval-censored data. Use when analyzing time-to-event endpoints (OS, PFS, DOR, TTR, TTNT) in oncology or other clinical trials.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
1,025

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubGPTomics/bioSkills

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 1 collections
Scope
Portable: works in any project. General survival analysis methods with public stats libraries

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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