bio-clinical-biostatistics-effect-measures

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

Computes and interprets treatment effect measures (OR, RR, RD, HR, NNT) with calibrated confidence intervals (Wilson, Newcombe, Miettinen-Nurminen, MOVER, profile likelihood, Bender NNT) and reports marginal vs conditional estimands per FDA 2023 covariate adjustment guidance. Use when reporting treatment effects in confirmatory trials, comparing effect sizes across studies, or constructing forest plots.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
115

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 GitHubBioTender-max/awesome-bio-agent-skills

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 4 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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