c5
CommunityMaster Meta-Analysis with Data Integrity
Education & Research#data integrity#research methodology#sensitivity analysis#meta-analysis#effect size#statistical validation
AuthorHosungYou
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates and validates complex meta-analysis workflows, ensuring data integrity, accurate effect size calculation, and robust statistical analysis, while preventing common errors.
Core Features & Use Cases
- Multi-Gate Validation: Enforces rigorous checks at each stage of meta-analysis (Extraction, Classification, Statistical, Independence).
- Orchestrates Complex Workflows: Manages the progression through distinct phases from study selection to reporting.
- Effect Size Management: Selects the most appropriate effect size and handles conversions.
- Sensitivity Analysis: Performs advanced checks for bias and robustness.
- Use Case: When synthesizing results from multiple studies on a treatment's effectiveness, this Skill ensures all data is clean, effect sizes are correctly calculated (e.g., Hedges' g), and potential biases are identified before drawing conclusions.
Quick Start
Use the c5 skill to validate the extracted effect sizes for meta-analysis.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: c5 Download link: https://github.com/HosungYou/Diverga/archive/main.zip#c5 Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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