title: Assessment of agreement using intersection-union principle.
abstract: 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.
authors.affiliation: Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75083-0688, USA. pankaj@utdallas.edu
authors.forename: Pankaj K
authors.initials: PK
authors.lastname: Choudhary
authors.forename: H N
authors.initials: HN
authors.lastname: Nagaraja
mesh_terms: D000704:Analysis of Variance; D015982:Bias; D002138:Calibration; D016001:Confidence Intervals; D005163:Factor Analysis, Statistical; D006801:Humans; D015233:Models, Statistical; D015588:Observer Variation; D010953:Plasma Volume; D011237:Predictive Value of Tests; D015203:Reproducibility of Results