Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Мережевий метааналіз× | Мережевий метааналіз× | |
|---|---|---|
| Галузь≠ | Наукометрія | Синтез доказів |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2002 (Lumley); refined 2008–2012 | 2002 |
| Автор методу≠ | Thomas Lumley (statistical framework); Georgia Salanti (SUCRA and ranking methods) | Lumley (2002) |
| Тип≠ | Quantitative evidence synthesis | Method |
| Основоположне джерело | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ |
| Інші назви≠ | NMA, network meta-analysis, mixed-treatment comparison, multiple-treatments meta-analysis | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis |
| Пов'язані≠ | 5 | 1 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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