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Measures of agreement: A single procedure
Author(s) -
Bartko John J.
Publication year - 1994
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780130534
Subject(s) - intraclass correlation , statistics , bivariate analysis , reliability (semiconductor) , agreement , test (biology) , confidence interval , measure (data warehouse) , limits of agreement , computer science , mathematics , medicine , reproducibility , data mining , nuclear medicine , paleontology , power (physics) , physics , linguistics , philosophy , quantum mechanics , biology
An assessment of measurement agreement made by devices, laboratories, or raters is important in medical practice and research. The setting in which each randomly selected subject is rated by the same two raters raises assorted questions regarding rater agreement. The intraclass correlation coefficient (ICC) is one measure of reliability. The paired t‐test can be used to evaluate the overall ratings or bias of the two raters, while their variances can be assessed with Pitman's test. The Bradley‐Black wood test can be used for a simultaneous test of their means and variances. A single method that provides results for these approaches is proposed and the bivariate confidence ellipse is suggested to provide boundaries for dispersion.