Salīdzināt metodes

	Meta-analīze tīklā	Metaregresija
Nozare	Pierādījumu sintēze	Metaanalīze
Saime	Process / pipeline	Regression model
Izcelsmes gads	2002	2002
Autors	Lumley (2002)	Simon Thompson & Julian Higgins
Tips	Method	Weighted regression for effect-size heterogeneity
Pirmavots	Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.	Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573.
Citi nosaukumi	Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis	Meta-Analytic Regression, Weighted Regression in Meta-Analysis, Moderator Analysis, Meta-regresyon
Saistītās	1	2
Kopsavilkums	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.	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.