statistical-review
CommunityAutomates statistical rigor checks
Education & Research#review#statistical#effect-size#manuscripts#research-quality#multiple-testing#p-hacking
Authorsencersoylu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Statistical reviews of manuscripts are labor-intensive and error-prone, lacking a structured, repeatable method to detect p-hacking, multiplicity, and misreported effect sizes.
Core Features & Use Cases
- Checks test appropriateness for each outcome type and study design.
- Verifies assumptions, multiple testing corrections, and reports effect sizes with confidence intervals.
- Use Case: Editors can run automated statistical audits before peer review to improve rigor and reproducibility.
Quick Start
Upload a manuscript to run the standardized statistical quality audit.
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: statistical-review Download link: https://github.com/sencersoylu/scholar-flow/archive/main.zip#statistical-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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