So sánh phương pháp

	Phân tích thiên vị xuất bản	Hồi quy siêu phân tích
Lĩnh vực	Phân tích tổng hợp	Phân tích tổng hợp
Họ	Hypothesis test	Regression model
Năm ra đời	1997	2002
Người khởi xướng	Matthias Egger et al.	Simon Thompson & Julian Higgins
Loại	Diagnostic bias test for meta-analysis	Weighted regression for effect-size heterogeneity
Công trình gốc	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.
Tên gọi khác	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
Liên quan	1	2
Tóm tắt	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.