We consider the problem of assessing agreement between two instruments and test whether the normally distributed bivariate data have evidence to claim satisfactory agreement. We focus on a comprehensive intersection-union formulation of the hypotheses of agreement. Confidence intervals associated with this approach provide information regarding the extent of agreement and nature of disagreement. We illustrate the suggested methodology using a dataset from the literature. © 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
CITATION STYLE
Choudhary, P. K., & Nagaraja, H. N. (2005). Assessment of agreement using intersection-union principle. Biometrical Journal, 47(5), 674–681. https://doi.org/10.1002/bimj.200410068
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