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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Meta-analizë e bazuar në rrjet×Rishikim Skoping×
FushaScientometriScientometri
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës2002 (Lumley); refined 2008–20122005
KrijuesiThomas Lumley (statistical framework); Georgia Salanti (SUCRA and ranking methods)Hilary Arksey & Lisa O'Malley
LlojiQuantitative evidence synthesisEvidence synthesis review design
Burimi themeluesLumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. DOI ↗
Emërtime të tjeraNMA, network meta-analysis, mixed-treatment comparison, multiple-treatments meta-analysisscoping study, literature scoping, evidence mapping review, rapid evidence map
Të lidhura56
PërmbledhjaNetwork-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.A scoping review is a systematic evidence-synthesis method that maps the breadth and nature of research on a topic — identifying key concepts, evidence types, and gaps — without necessarily appraising study quality or pooling effect sizes. Developed by Arksey and O'Malley (2005) and refined by Levac and colleagues (2010), it is particularly valuable for emerging or heterogeneous fields where a full systematic review would be premature or infeasible.
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ScholarGateKrahasoni metodat: Network-based Meta-analysis · Scoping Review. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare