Meta-Analysis Explained: How It Works and Where It Falls Short

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Meta-analysis is a statistical method that combines results from multiple studies into a single numerical estimate, functioning as an advanced form of systematic review. Unlike narrative reviews, which rely on expert opinion with no fixed methodology, systematic reviews and meta-analyses follow transparent, reproducible rules for selecting and evaluating evidence. To conduct a valid meta-analysis, the included studies must share the same design, measurement type, and intervention. However, the approach carries inherent limitations, including the 'apples and oranges' problem, where pooling results from studies that differ in key properties can produce misleading estimates. Acknowledging these biases is essential for critically appraising scientific evidence rather than treating meta-analyses as definitive conclusions.

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ProgrammingDEV Community ·

Understanding Between-Study Heterogeneity in Meta-Analysis Research

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ProgrammingDEV Community ·

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