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The environmental and biotic matrices were analyzed using the BEST routine, based on Euclidian distance and Bray-Curtis dissimilarity measures, respectively, to find the best match environmental variables using the Spearman rank correlation method that measures agreement between the two matrices.
The Cohen κ measures agreement between two methods.
The kappa coefficient measures agreement between two observers and takes into account the agreement expected by chance.
To assess the level of agreement between the reported quantities and costs of health care use, we used Lin's concordance correlation coefficient (ρc) which measures agreement between two continuous variables taking into account systematic bias [ 28].
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Bland-Altman analysis was used to measure agreement between the two set of measurements.
The strategy is based on measuring agreement between pairs of workers.
Cohen's kappa test was used to measure agreement between raters, and Kruskal-Wallis analysis of variance test was used to determine statistical differences between the 4 groups.
The method is validated by measuring agreement between contact angles for the PMMA/H2O system for fibers with diameters 20 800 μm and for sessile drops.
To measure agreement between gestational age based on maternal report of expected date of delivery (EDD) 9 months after birth and gestational age at birth in routine hospital data.
The κ statistic was calculated to measure agreement between the two definitions [14].
A Kappa coefficient with 95% CI was calculated to measure agreement between BED and Ax-AI classifications.
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