เปรียบเทียบวิธี

	Meta-Regression	การวิเคราะห์อภิมานเครือข่าย
สาขาวิชา	การวิเคราะห์อภิมาน	การสังเคราะห์หลักฐาน
ตระกูล	Regression model	Process / pipeline
ปีกำเนิด	2002	2002
ผู้ริเริ่ม	Simon Thompson & Julian Higgins	Lumley (2002)
ประเภท	Weighted regression for effect-size heterogeneity	Method
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	Meta-Analytic Regression, Weighted Regression in Meta-Analysis, Moderator Analysis, Meta-regresyon	Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis
ที่เกี่ยวข้อง	2	1
สรุป	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.