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npx skills add https://github.com/matheus-rech/meta-agent-mobile --skill heterogeneity-analysis
Please help me install this Agent Skill. Skill: heterogeneity-analysis Source: https://github.com/matheus-rech/meta-agent-mobile/tree/main/agentskills/heterogeneity-analysis Command: npx skills add https://github.com/matheus-rech/meta-agent-mobile --skill heterogeneity-analysis
Heterogeneity analysis helps researchers quantify and interpret variation in meta-analysis results, enabling better decisions about pooling and interpretation.
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.
High-intent search queries and answers about installing and using this skill.
Assess heterogeneity in a meta-analysis by loading your study data into R and computing the I², Q statistic, tau², and prediction intervals to quantify between-study variation. The Skill provides metafor package code snippets to execute these calculations.
I-squared, tau-squared, and the Q statistic are heterogeneity measures quantifying variation in meta-analysis results. The Q statistic tests for the presence of variation, tau-squared estimates the variance magnitude, and I-squared describes the proportion of total variation due to heterogeneity rather than chance.
You should not pool study results when heterogeneity is too high, instead exploring sources of variation via subgroup analyses or meta-regression. The Skill provides a decision framework to determine when to pool, investigate sources, or report a narrative synthesis based on heterogeneity levels.
Yes, you need the metafor package in R to calculate prediction intervals and heterogeneity statistics as provided by this Skill. It requires an R environment with metafor installed to run the code snippets and generate visualizations.
Explore sources of variation in a meta-analysis by applying subgroup analyses or meta-regression to identify moderating variables. After quantifying between-study heterogeneity, this Skill guides you through investigating these sources to explain why study results differ.
matheus-rechGenerate forest plots from yi and sei using metafor package in R.
shaitamam-80Plan meta-analyses with effect-size selection, heterogeneity assessment, and R code templates.
choxosAutomates meta-analyses in R using the metafor package.
xjtulycCompute Hedges' g and pool effects with a DerSimonian-Laird random-effects model.
