bio-clinical-biostatistics-multiplicity-graphical

bio-clinical-biostatistics-multiplicity-graphical 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-multiplicity-graphical C (73/100) and it passed the safety scan; the rating is based on static analysis only.

Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, mixed), Hochberg/Hommel/Holm with PRDS, and the closed-testing principle (Marcus-Peritz-Gabriel; Goeman 2021 admissibility). Covers FDA Multiple Endpoints Final Guidance (October 2022), graphical procedures via R gMCP, primary + key-secondary + subgroup hierarchies, and FWER vs FDR distinction. Use when designing the multiplicity strategy for confirmatory trials with multiple primary or key secondary endpoints.

Grade
C
Quality
73 / 100
Safety
Passed
GitHub stars
115

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

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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 2 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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