Porównaj metody

	Analiza porównania metod Bland-Altmana	Współczynnik Kappa Cohena
Dziedzina	Statystyka	Statystyka
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	1986	1960
Twórca	J. Martin Bland & Douglas G. Altman	Jacob Cohen
Typ	Graphical and statistical method comparison	Inter-rater reliability coefficient
Źródło pierwotne	Bland, J.M. & Altman, D.G. (1986). Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. Lancet, 327(8476), 307–310.	Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46.
Inne nazwy	Bland-Altman plot, limits of agreement analysis, method agreement analysis, Bland-Altman Uyum Analizi	kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum)
Pokrewne	5	3
Podsumowanie	The Bland-Altman analysis is a graphical and statistical technique for assessing agreement between two measurement methods applied to the same subjects. Introduced by J. Martin Bland and Douglas G. Altman in their landmark 1986 Lancet paper, it plots the difference between the two methods against their mean for each subject, and derives the bias (mean difference) along with limits of agreement (LoA) that capture 95% of differences in the population.	Cohen's kappa (κ) is a statistical measure of inter-rater reliability for categorical classifications, introduced by Jacob Cohen in 1960. Unlike simple percent agreement, kappa corrects for the level of agreement that would be expected purely by chance, making it the standard metric when two raters independently assign observations to the same set of mutually exclusive categories.