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meta-analysis

Plan meta-analyses with effect-size selection, heterogeneity assessment, and R code templates.

Updated Nov 16, 2025
Search Tags:#meta-analysis#R#heterogeneity#metafor#forest plot#fixed-effects#random-effects
One-click install
npx skills add https://github.com/shaitamam-80/shaitamamMedAIHub --skill meta-analysis-shaitamam-80
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-analysis
Source: https://github.com/shaitamam-80/shaitamamMedAIHub/tree/main/backend/app/core/skills/meta-analysis
Command: npx skills add https://github.com/shaitamam-80/shaitamamMedAIHub --skill meta-analysis-shaitamam-80

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Meta-analysis planning and interpretation guidance for researchers conducting quantitative synthesis, including method selection and result reporting.

Core Features & Use Cases

  • Effect-size guidance: choose RR/OR/MD/SMD appropriate to the data.
  • Model selection: fixed vs random effects, τ² estimators, and Hartung-Knapp adjustments.
  • Heterogeneity assessment: I², τ², prediction intervals and subgroup planning.
  • R code templates: ready-to-adapt code using metafor and meta.
  • Use Case: A researcher designs a meta-analysis workflow and receives a skeleton plan and code templates without performing any calculations.

Quick Start

Prepare your study data in CSV (columns: study, events/totals or means/SDs, sample sizes). Then request an analysis plan and template code to begin.

Frequently Asked Questions about meta-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan a meta-analysis and choose between fixed-effects and random-effects models?▼

Meta-analysis planning requires choosing between fixed-effects and random-effects models based on heterogeneity. This Skill provides guidance on model selection, τ² estimators, and Hartung-Knapp adjustments to structure your quantitative synthesis correctly.

What is the best way to calculate effect sizes like SMD or odds ratio for a systematic review?▼

Choosing the best effect size for a systematic review involves selecting RR, OR, MD, or SMD based on your data structure. This Skill provides effect-size selection guidance to ensure you apply the appropriate metric for your study inputs.

How do I generate R code templates using metafor for heterogeneity assessment?▼

Generating R code templates with metafor for heterogeneity assessment involves requesting an analysis plan from this Skill. It provides ready-to-adapt code templates covering I², τ², and prediction intervals without performing the actual calculations.

Can I use this to run calculations on my CSV data for a meta-analysis?▼

You cannot use this to run calculations directly on your CSV data. It assumes data in CSV format but only provides formulas, skeleton plans, and R code templates using metafor and meta to help you execute the quantitative synthesis yourself.

When do I need to use Hartung-Knapp adjustments in a random-effects meta-analysis?▼

You need Hartung-Knapp adjustments in a random-effects meta-analysis to control Type I error rates when heterogeneity is present or the number of studies is small. This Skill guides when to apply these adjustments during your model selection process.

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