השוואת שיטות

	ניתוח מטא-אנליזה רשתי	ריבועים פחותים משוקללים (WLS)
תחום	סינתזת ראיות	סטטיסטיקה
משפחה	Process / pipeline	Regression model
שנת המקור	2002	1935
הוגה השיטה	Lumley (2002)	Alexander Craig Aitken
סוג	Method	Weighted linear estimator
מקור מכונן	Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.	Aitken, A. C. (1935). IV.—On least squares and linear combination of observations. Proceedings of the Royal Society of Edinburgh, 55, 42–48.
כינויים	Mixed Treatment Comparison, MTC, Indirect Comparison Meta-Analysis	WLS, weighted regression, heteroscedasticity-corrected OLS, variance-weighted least squares
קשורות	1	3
תקציר	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.