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Meta-Regression

Meta-regression is a statistical technique that extends conventional meta-analysis by regressing study-level effect sizes on one or more study characteristics (moderators) to explain between-study heterogeneity. Formalized by Thompson and Higgins in 2002, it uses weighted least squares — weighting each study by the inverse of its variance — within a mixed-effects framework, allowing researchers to identify which study features systematically account for variation in observed effects across the literature.

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Meta-Regression

Taksonoomiline meetodikirje · regression-model / meta-analysis

Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573. · DOI 10.1002/sim.1187

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Often confused withNetwork Meta-Analysismachine-suggested · Relational suggestion, not evidence.Same method familyWeighted Least Squaresmachine-suggested · Relational suggestion, not evidence.