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The Meta-Analysis skill empowers researchers to perform rigorous quantitative synthesis of empirical data across various studies. By automating the extraction of effect sizes and applying advanced statistical models like fixed-effect or random-effects weighting, it provides a comprehensive overview of research evidence. The skill simplifies complex tasks such as calculating 95% confidence intervals, evaluating heterogeneity via I² statistics and Q tests, and identifying publication bias through funnel plots and Egger's tests. It is an essential tool for systematic reviews, evidence-based decision-making, and identifying trends in scientific literature.
