bio-clinical-biostatistics-categorical-tests SKILL.md skillA
bio-clinical-biostatistics-categorical-tests 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-categorical-tests@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-categorical-tests/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260821.2d1b678, committed Aug 21, 2026
- Size
- 25,458 bytes
- Repository stars
- 662
- License
- MIT
Tests associations between categorical variables in clinical data using chi-square, Fisher's exact, Boschloo, Cochran-Mantel-Haenszel, and modern McNemar variants with calibrated confidence intervals (Wilson, Newcombe, Miettinen-Nurminen). Use when analyzing categorical outcomes, paired binary endpoints, or testing treatment-outcome independence in confirmatory or exploratory clinical trials.
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: scipy 1.12+ (Boschloo and Barnard added in 1.7), statsmodels 0.14+, pingouin 0.5+, exact2x2 (R) 1.6+, pandas 2.1+, numpy 1.26+. Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - R packages cited for reference (exact2x2, Exact, ratesci): use `packageVersion()` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Categorical Association Tests for Clinical Data **"Test association between categorical variables"** -> Determine whether treatment and a categorical clinical outcome are statistically independent (or that marginal proportions agree, for paired data) using a test calibrated to the design, the sample size, and the regulatory question. ## Algorithmic Taxonomy | Test | Design | Asymptotic / exact | Conditioning | Strength | Fails when | |------|--------|--------------------|--------------|----------|------------| …
Read the whole file at its exact version.
How to install
mdr add pku-yuangroup/openai4s/bio-clinical-biostatistics-categorical-tests@sha256:3258df6f4e4a4c89The 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_m6bibwz3fd6mqe4i)
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Versions
The registry has recorded 1 version of this file, committed on Aug 21, 2026.
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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_m6bibwz3fd6mqe4i GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-clinical-biostatistics-categorical-tests GET https://markdownregistry.com/api/v1/blob/3258df6f4e4a4c890f85183ae64800e14082d510d495617f0847c2ccfa879072
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