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mediation-meta-analyst

Synthesize mediation effects across studies with fixed- and random-effects models.

Updated Aug 27, 2026
Search Tags:#meta-analysis#heterogeneity#mediation#multivariate#indirect-effect#IPD
One-click install
npx skills add https://github.com/Data-Wise/scholar --skill mediation-meta-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mediation-meta-analyst
Source: https://github.com/Data-Wise/scholar/tree/main/src/plugin-api/skills/research/mediation-meta-analyst
Command: npx skills add https://github.com/Data-Wise/scholar --skill mediation-meta-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides frameworks and methods for conducting meta-analyses of mediation effects across multiple studies, enabling researchers to synthesize indirect effects and assess heterogeneity.

Core Features & Use Cases

  • Meta-analysis of mediation paths (a, b, ab) and aggregated indirect effects.
  • IPD meta-analysis support for modeling mediation pathways and moderator effects.
  • Multivariate/meta-regression analyses to explore heterogeneity and moderators.
  • Publication bias assessment and comprehensive reporting.

Quick Start

Input study-level indirect effects and standard errors and run the mediation meta-analysis workflow to obtain the pooled indirect effect with confidence interval and heterogeneity metrics.

Frequently Asked Questions about mediation-meta-analyst

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

FAQPage Schema
How do I synthesize indirect effects across multiple studies in a meta-analysis?▼

You can synthesize indirect effects by inputting study-level indirect effects and standard errors to obtain a pooled indirect effect, confidence intervals, and heterogeneity metrics using fixed- or random-effects models.

What is the delta method for estimating indirect effects in a mediation meta-analysis?▼

The delta method estimates the variance and confidence intervals of the pooled indirect effect during mediation meta-analysis, ensuring accurate synthesis of the ab pathway across studies.

Can I use individual participant data (IPD) for mediation analysis across different studies?▼

Yes, IPD meta-analysis is supported for modeling mediation pathways and moderator effects, allowing you to assess heterogeneity and synthesize indirect effects at the participant level.

How do I assess heterogeneity in meta-analyses of mediation paths?▼

You can assess heterogeneity in mediation meta-analyses using multivariate and meta-regression analyses to explore how moderators influence the indirect effect, alongside standard fixed- and random-effects modeling.

Does this approach support publication bias assessment for cross-study mediation synthesis?▼

Yes, mediation meta-analysis includes publication bias assessment and reporting features to evaluate the robustness of the synthesized indirect effects and mediation paths across studies.

When should I use multivariate meta-regression for indirect effects instead of standard pooling?▼

Use multivariate meta-regression for indirect effects when cross-study heterogeneity is present, as it helps identify and quantify moderator variables affecting mediation pathways that standard pooling might obscure.

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