heterogeneity-analysis
CommunityAssess and interpret meta-analysis heterogeneity.
Education & Research#education#meta-analysis#heterogeneity#metafor#i-squared#tau-squared#q-statistic
Authormatheus-rech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Heterogeneity analysis helps researchers quantify and interpret variation in meta-analysis results, enabling better decisions about pooling and interpretation.
Core Features & Use Cases
- Measures: I², Q statistic, tau², and prediction intervals to assess heterogeneity.
- Implementation: R code snippets using metafor to compute heterogeneity statistics and generate visualizations.
- Decision Framework: Guidance to decide when to pool, explore sources, or report a narrative synthesis based on heterogeneity levels.
- Teaching & Communication: Clear explanations and Socratic prompts to teach heterogeneity concepts to learners.
Quick Start
Load your meta-analysis dataset (yi and sei) and run the provided R code to compute I², Q, tau², and the prediction interval to interpret heterogeneity.
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: heterogeneity-analysis Download link: https://github.com/matheus-rech/meta-agent-mobile/archive/main.zip#heterogeneity-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.