Σύγκριση μεθόδων

	Ανάλυση Μεροληψίας Δημοσίευσης	Μετα-παλινδρόμηση
Πεδίο	Μετα-ανάλυση	Μετα-ανάλυση
Οικογένεια	Hypothesis test	Regression model
Έτος προέλευσης	1997	2002
Δημιουργός	Matthias Egger et al.	Simon Thompson & Julian Higgins
Τύπος	Diagnostic bias test for meta-analysis	Weighted regression for effect-size heterogeneity
Θεμελιώδης πηγή	Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634.	Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573.
Εναλλακτικές ονομασίες	Small-Study Effects Test, Funnel Plot Asymmetry Test, Egger Regression Test, Yayın Yanlılığı Analizi	Meta-Analytic Regression, Weighted Regression in Meta-Analysis, Moderator Analysis, Meta-regresyon
Συναφείς	1	2
Σύνοψη	Publication bias analysis examines whether the set of studies included in a meta-analysis is a representative sample of all conducted research, or whether studies with non-significant or unfavorable results have been systematically suppressed. Matthias Egger and colleagues introduced the regression-based funnel plot asymmetry test in 1997, providing a formal statistical complement to the graphical funnel plot inspection long used in evidence synthesis.	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.