statistical-reviewer
OfficialConduct thorough statistical review of clinical trial data, ensure accuracy and integrity.
Data & Analytics#data integrity#reproducibility#statistical review#clinical trial data#realism assessment
AuthorRConsortium
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simulates an independent statistical review of clinical trial data, ensuring accuracy, integrity, and consistency of reported results.
Core Features & Use Cases
- Data Integrity Review: Identifies errors, inconsistencies, and missing data in clinical trial datasets (SDTM, ADaM, TLF, SAP, CSR).
- Reproducibility Checks: Validates the reproducibility of statistical analyses and reported results.
- Realism Assessment: Assesses whether the data exhibits the natural variation and operational patterns expected from real clinical trials.
- Use Case: If you have a clinical trial dataset and want to ensure the accuracy of the reported results, use this Skill to conduct a comprehensive review.
Quick Start
Use the statistical-reviewer skill to review the provided clinical trial dataset and report any findings.
Dependency Matrix
Required Modules
pandasscipylifelinesstatsmodelspyreadstat
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: statistical-reviewer Download link: https://github.com/RConsortium/pharma-skills/archive/main.zip#statistical-reviewer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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