So sánh phương pháp

	Hồi quy siêu phân tích	Phân tích Meta Mạng
Lĩnh vực	Phân tích tổng hợp	Tổng hợp bằng chứng
Họ	Regression model	Process / pipeline
Năm ra đời	2002	2002
Người khởi xướng	Simon Thompson & Julian Higgins	Lumley (2002)
Loại	Weighted regression for effect-size heterogeneity	Method
Công trình gốc	Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573.	Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.
Tên gọi khác	Meta-Analytic Regression, Weighted Regression in Meta-Analysis, Moderator Analysis, Meta-regresyon	Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis
Liên quan	2	1
Tóm tắt	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.	Network meta-analysis (NMA) is a systematic method for comparing multiple interventions simultaneously within a single analytical framework, incorporating both direct evidence (head-to-head trials) and indirect evidence (comparisons via common comparators). First formalized by Lumley in 2002, NMA allows researchers to rank treatments and quantify comparative effectiveness even when some treatment pairs have never been directly studied.