clinical-trial-ipd-sim
clinical-trial-ipd-sim is a Bioinformatics & life sciences skill for AI agents, published by RConsortium in the pharma-skills repository on GitHub. Skillspace rates clinical-trial-ipd-sim C (71/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end R/pharmaverse workflow to simulate individual patient data (IPD) for a registered clinical trial using a g-formula causal-DAG simulator. Given an NCT ID with posted protocol + results, derives SDTM-style CRFs, builds evidence-based structural causal models, parameterizes them from ClinicalTrials.gov / literature priors, runs forward simulation in R, creates SDTM/ADaM outputs with pharmaverse packages, and iteratively calibrates marginal statistics to the published results without breaking causal identifiability.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 85
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.
Our review
- Architecture
- 94 / 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 0 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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