Порівняння методів

	Порівняльний аналіз методом Бленда-Альтмана	Коефіцієнт Каппа Коена	Капа Флейса для узгодженості між кількома оцінювачами
Галузь	Статистика	Статистика	Статистика
Родина	Hypothesis test	Hypothesis test	Hypothesis test
Рік появи	1986	1960	1971
Автор методу	J. Martin Bland & Douglas G. Altman	Jacob Cohen	Joseph L. Fleiss
Тип	Graphical and statistical method comparison	Inter-rater reliability coefficient	Non-parametric agreement measure
Основоположне джерело	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.	Fleiss, J.L. (1971). Measuring Nominal Scale Agreement Among Many Raters. Psychological Bulletin, 76(5), 378–382.
Інші назви	Bland-Altman plot, limits of agreement analysis, method agreement analysis, Bland-Altman Uyum Analizi	kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum)	multi-rater kappa, Fleiss kappa, Fleiss' Kappa (Çoklu Değerlendirici Uyumu)
Пов'язані	5	3	2
Підсумок	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.	Fleiss' Kappa is a non-parametric statistic for measuring the degree of agreement among three or more raters who classify items into mutually exclusive nominal categories. Introduced by Joseph L. Fleiss in 1971 as a generalization of Cohen's Kappa beyond two raters, it corrects observed agreement for the level of agreement expected by chance alone, making it the standard reliability index in medical diagnosis studies, content analysis, and multi-coder research.