Back to list
astoreyai

meta-analysis

by astoreyai

Research Assistant Plugin for Claude Code - Complete research workflow automation with AI-detection

3🍴 3📅 Jan 8, 2026

SKILL.md


name: meta-analysis description: "Conduct quantitative synthesis through meta-analysis. Use when: (1) Combining effect sizes across studies, (2) Systematic review synthesis, (3) Calculating summary effects, (4) Assessing heterogeneity." allowed-tools: Read, Write, Bash version: 1.0.0

Meta-Analysis Skill

Purpose

Quantitatively synthesize results across multiple studies.

Meta-Analysis Steps

1. Extract Effect Sizes

  • Convert to common metric (d, OR, RR)
  • Calculate standard errors

2. Choose Model

  • Fixed-effect: Assumes single true effect
  • Random-effects: Allows heterogeneity

3. Pool Results

  • Weight studies (inverse variance)
  • Calculate summary effect
  • 95% confidence interval

4. Assess Heterogeneity

  • I² statistic (0-100%)
    • 0-40%: Low heterogeneity
    • 40-75%: Moderate
    • 75-100%: High
  • Q test (statistical significance)

5. Investigate Heterogeneity

  • Subgroup analysis
  • Meta-regression
  • Sensitivity analysis

6. Publication Bias

  • Funnel plot
  • Egger's test
  • Trim-and-fill

Reporting

Example: "Meta-analysis of 15 RCTs (N=1,234) showed a moderate effect, g=0.52, 95% CI[0.38, 0.66], p<.001. Heterogeneity was moderate, I²=58%, suggesting variability in effects."


Version: 1.0.0

Score

Total Score

60/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

💬

Reviews coming soon