Σύγκριση μεθόδων

	Μετα-ανάλυση βασισμένη σε δίκτυο	Βιβλιομετρική Ανάλυση
Πεδίο	Επιστημομετρία	Επιστημομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2002 (Lumley); refined 2008–2012	1969 (term coined); practice dates to 1920s–1930s
Δημιουργός	Thomas Lumley (statistical framework); Georgia Salanti (SUCRA and ranking methods)	Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934)
Τύπος	Quantitative evidence synthesis	Quantitative literature analysis
Θεμελιώδης πηγή	Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.	Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349.
Εναλλακτικές ονομασίες	NMA, network meta-analysis, mixed-treatment comparison, multiple-treatments meta-analysis	bibliometrics, bibliometric study, bibliometric mapping, publication analysis
Συναφείς	5	6
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.	Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline.