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Мета-регрессионный быстрый обзор×Сетевой метаанализ×
ОбластьНаукометрияСинтез доказательств
СемействоProcess / pipelineProcess / pipeline
Год появления2000s–2010s (convergence of rapid review and meta-regression)2002
Автор методаMeta-regression: Simon Thompson & Stephen Sharp (1999); Rapid review methodology: Cochrane, WHO, and health technology assessment bodies (2000s onward)Lumley (2002)
ТипQuantitative evidence synthesis variantMethod
Основополагающий источникThompson, S. G., & Sharp, S. J. (1999). Explaining heterogeneity in meta-analysis: A comparison of methods. Statistics in Medicine, 18(20), 2693–2708. DOI ↗Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗
Другие названияrapid review with meta-regression, accelerated meta-regression review, rapid synthesis with meta-regression, RRMRMixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis
Связанные51
СводкаA meta-regression-based rapid review is an accelerated evidence synthesis that combines the time-efficient protocols of a rapid review with meta-regression analysis to identify which study-level or population-level characteristics explain variability in effect sizes across included studies. By streamlining search and screening steps without sacrificing the explanatory power of regression modeling, this approach delivers actionable heterogeneity insights under decision-making time constraints.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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: meta-regression-based rapid review · Network Meta-Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare