方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 网络荟萃分析× | 加权最小二乘法 (WLS)× | |
|---|---|---|
| 领域≠ | 证据综合 | 统计学 |
| 方法族≠ | Process / pipeline | Regression model |
| 起源年份≠ | 2002 | 1935 |
| 提出者≠ | Lumley (2002) | Alexander Craig Aitken |
| 类型≠ | Method | Weighted linear estimator |
| 开创性文献≠ | 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 ↗ |
| 别名≠ | Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis | WLS, weighted regression, heteroscedasticity-corrected OLS, variance-weighted least squares |
| 相关≠ | 1 | 3 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|