Meta Analysis Tools

Configuration File: meta_analysis_tools.json Tool Type: Local Tools Count: 1

This page contains all tools defined in the meta_analysis_tools.json configuration file.

Available Tools

MetaAnalysis_run (Type: MetaAnalysisTool)

Run a fixed-effects or random-effects meta-analysis from a set of effect sizes and standard error…

MetaAnalysis_run tool specification

Tool Information:

  • Name: MetaAnalysis_run

  • Type: MetaAnalysisTool

  • Description: Run a fixed-effects or random-effects meta-analysis from a set of effect sizes and standard errors. Uses inverse-variance weighting for fixed effects and the DerSimonian-Laird estimator for random effects. Returns pooled effect size with 95% CI, p-value, heterogeneity statistics (Cochran Q, I-squared, tau-squared), per-study weights, and a text interpretation. Pure local computation – no external API calls. Useful for combining results from multiple studies in systematic reviews.

Parameters:

  • studies (array) (required) List of studies, each with name, effect_size, se, and optional n.

  • method ([‘string’, ‘null’]) (optional) Meta-analysis method: ‘fixed’ for fixed-effects (inverse-variance), ‘random’ for random-effects (DerSimonian-Laird). Default: ‘random’.

Example Usage:

query = {
    "name": "MetaAnalysis_run",
    "arguments": {
        "studies": ["item1", "item2"]
    }
}
result = tu.run(query)