Σύγκριση μεθόδων

	Μετα-ανάλυση βασισμένη σε δίκτυο	Ανάλυση Δικτύου Μετα-ανάλυσης
Πεδίο	Επιστημομετρία	Σύνθεση Τεκμηρίων
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2002 (Lumley); refined 2008–2012	2002
Δημιουργός	Thomas Lumley (statistical framework); Georgia Salanti (SUCRA and ranking methods)	Lumley (2002)
Τύπος	Quantitative evidence synthesis	Method
Θεμελιώδης πηγή	Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.	Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.
Εναλλακτικές ονομασίες	NMA, network meta-analysis, mixed-treatment comparison, multiple-treatments meta-analysis	Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis
Συναφείς	5	1
Σύνοψη	Network-based Meta-analysis (NMA) extends conventional pairwise meta-analysis by simultaneously synthesizing evidence across a network of two or more competing treatments, including pairs that have never been compared head-to-head in a single trial. By combining direct and indirect evidence within a coherent statistical model, NMA produces relative effect estimates for all treatment pairs and generates a probabilistic ranking of which treatment performs best on the outcome of interest.	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.