Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchambuzi wa Meta-analytic wa Uhusiano kati ya Kipimo na Mwitikio× | Uchambuzi Meta wa Mtandao× | |
|---|---|---|
| Nyanja≠ | Epidemiolojia | Usanisi wa Ushahidi |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1992 | 2002 |
| Mwanzilishi≠ | Sander Greenland & Matthew P. Longnecker | Lumley (2002) |
| Aina≠ | Quantitative meta-analytic method | Method |
| Chanzo asilia≠ | Greenland, S., & Longnecker, M. P. (1992). Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. American Journal of Epidemiology, 135(11), 1301–1309. DOI ↗ | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ |
| Majina mbadala≠ | dose-response meta-analysis, DRMA, pooled dose-response modeling, trend meta-analysis | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis |
| Zinazohusiana≠ | 2 | 1 |
| Muhtasari≠ | Meta-analytic dose-response analysis pools summary statistics from multiple epidemiological studies to characterize how disease risk changes across ordered levels of an exposure. Rather than comparing a single high-exposure group against a reference, it reconstructs a continuous or categorical exposure-risk curve across the full range of doses, providing far richer evidence about the shape and magnitude of an association than any single study can supply. | 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. |
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