bio-clinical-biostatistics-effect-measures SKILL.md skillA
bio-clinical-biostatistics-effect-measures from pku-yuangroup/openai4s is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pku-yuangroup/openai4s/bio-clinical-biostatistics-effect-measures@git:20260821.2d1b678Pins git:20260821.2d1b678 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pku-yuangroup/openai4s
- Path
skills/bioskills/bio-clinical-biostatistics-effect-measures/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260821.2d1b678, committed Aug 21, 2026
- Size
- 28,352 bytes
- Repository stars
- 662
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Version Compatibility
Reference examples tested with: statsmodels 0.14+, numpy 1.26+, pandas 2.1+, matplotlib 3.8+, marginaleffects (Python) 0.0.13+ / (R) 0.20+. R packages cited: ratesci, exact2x2, marginaleffects, riskCommunicator, RobinCar.
Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures
- R: `packageVersion('<pkg>')` then `?function_name`
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
# Treatment Effect Measures for Clinical Trials
**"Compute treatment effect sizes"** -> Estimate the population-level treatment contrast (OR, RR, RD, HR, NNT) with a confidence interval calibrated to sample size and a clear declaration of whether the estimand is marginal or conditional under ICH E9(R1).
## Algorithmic Taxonomy
| Measure | Scale | Collapsible? | Best CI method | When to use | Fails when |
|---------|-------|--------------|----------------|-------------|------------|
…Read the whole file at its exact version.
How to install
mdr add pku-yuangroup/openai4s/bio-clinical-biostatistics-effect-measures@sha256:e8c934d7f20d3b17The line at the top of this page pins the label git:20260821.2d1b678, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_iloc75pgwockhyff)
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Versions
The registry has recorded 1 version of this file, committed on Aug 21, 2026.
Audit of the latest version
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Source
pku-yuangroup/openai4s · 662 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iloc75pgwockhyff GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-clinical-biostatistics-effect-measures GET https://markdownregistry.com/api/v1/blob/e8c934d7f20d3b1748a4c4a2ce6e6afe33b692d5ce1c765e900850106073f6c2
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Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.