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Meta-analysis is a statistical technique that synthesizes data from various studies to derive consolidated insights on a specific research question. By combining results, it increases statistical power and provides more reliable conclusions than individual studies. Key features include systematic literature search, quantification of effects, and assessment of heterogeneity. While it offers strengths like enhanced accuracy and generalizability, weaknesses include potential bias, publication bias, and varying quality of included studies. Understanding these aspects is vital for interpreting meta-analytical findings.
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