scientific-meta-analysis
CommunityStreamline meta-analysis workflows across studies.
Data & Analytics#statistics#meta-analysis#heterogeneity#effect-size#random-effects#funnel-plot#forest-plot
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Multi-study data integration and effect-size synthesis can be time-consuming and prone to inconsistencies. This skill provides a reproducible pipeline for combining study results to obtain a pooled estimate, while evaluating heterogeneity and potential biases.
Core Features & Use Cases
- Fixed or random-effects meta-analysis (DerSimonian-Laird) for combining effect sizes such as SMD, MD, OR, or RR.
- Visualization and diagnostics including Forest plots, Funnel plots, I², Q, and τ² statistics.
- Use Cases: evidence synthesis for systematic reviews, guideline development, and research programs across academia and industry.
Quick Start
Compute a random-effects meta-analysis for your set of studies using the provided effect sizes and variances to obtain a pooled estimate.
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: scientific-meta-analysis Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-meta-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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