Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Meta-analīze tīklā× | Svērto mazāko kvadrātu metode (WLS)× | |
|---|---|---|
| Nozare≠ | Pierādījumu sintēze | Statistika |
| Saime≠ | Process / pipeline | Regression model |
| Izcelsmes gads≠ | 2002 | 1935 |
| Autors≠ | Lumley (2002) | Alexander Craig Aitken |
| Tips≠ | Method | Weighted linear estimator |
| Pirmavots≠ | Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324. DOI ↗ | Aitken, A. C. (1935). IV.—On least squares and linear combination of observations. Proceedings of the Royal Society of Edinburgh, 55, 42–48. DOI ↗ |
| Citi nosaukumi≠ | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis | WLS, weighted regression, heteroscedasticity-corrected OLS, variance-weighted least squares |
| Saistītās≠ | 1 | 3 |
| Kopsavilkums≠ | 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. | Weighted Least Squares is a generalization of Ordinary Least Squares (OLS) regression that assigns each observation a weight inversely proportional to its error variance, thereby down-weighting high-variance data points and up-weighting precise ones. Introduced in its general matrix form by Alexander Craig Aitken in 1935, WLS is the canonical remedy when heteroscedasticity is present and the error variance structure is known or can be reliably estimated. |
| ScholarGateDatu kopa ↗ |
|
|