analyze-stats
OfficialAutomates medical statistics with reproducible code.
Data & Analytics#python#statistics#r#publication-quality#biostatistics#medical-research#reproducible-code
AuthorAperivue
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps medical researchers perform rigorous statistical analyses for scientific papers by generating reproducible Python or R code that outputs publication-ready tables and figures, reducing manual scripting and boosting reliability.
Core Features & Use Cases
- Auto-detect the appropriate analysis type from the data structure (demographics, diagnostic accuracy, regression, survival, etc.).
- Produce a complete analysis plan outlining tests, endpoints, and assumptions before execution.
- Generate reproducible code headers, standardized outputs (CSV, Markdown, gtsummary-like tables), and manuscript-ready text suitable for journal submission.
- Leverage on-demand templates and guidance from the Skill's references to ensure methodology compliance and high-quality visuals.
Quick Start
Provide your dataset to analyze-stats and run to generate end-to-end statistical analyses with publication-ready outputs.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: analyze-stats Download link: https://github.com/Aperivue/medsci-skills/archive/main.zip#analyze-stats Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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