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| Netværksmetaanalyse× | Analyse af publikationsbias× | |
|---|---|---|
| Fagområde≠ | Evidenssyntese | Metaanalyse |
| Familie≠ | Process / pipeline | Hypothesis test |
| Oprindelsesår≠ | 2002 | 1997 |
| Ophavsperson≠ | Lumley (2002) | Matthias Egger et al. |
| Type≠ | Method | Diagnostic bias test for meta-analysis |
| Oprindelig kilde≠ | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ | Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. DOI ↗ |
| Aliasser≠ | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis | Small-Study Effects Test, Funnel Plot Asymmetry Test, Egger Regression Test, Yayın Yanlılığı Analizi |
| Relaterede | 1 | 1 |
| Resumé≠ | 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. | Publication bias analysis examines whether the set of studies included in a meta-analysis is a representative sample of all conducted research, or whether studies with non-significant or unfavorable results have been systematically suppressed. Matthias Egger and colleagues introduced the regression-based funnel plot asymmetry test in 1997, providing a formal statistical complement to the graphical funnel plot inspection long used in evidence synthesis. |
| ScholarGateDatasæt ↗ |
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