title: Higher-order kappa-type statistics for a dichotomous attribute in multiple ratings.
abstract: We introduce a sequence of parameters called canonical moments to characterize the predictive value of the pattern of consensus among (kappa-1) ratings to an additional rating. The usual kappa coefficient of agreement among ratings (two or more) is just the second canonical moment. By using the higher canonical moments, we can evaluate the consensus of multiple binary ratings.
authors.affiliation: Department of Biomathematical Sciences, Mount Sinai School of Medicine, City University of New York, New York 10029-6574.
authors.forename: T
authors.initials: T
authors.lastname: Lau
mesh_terms: D001794:Blood Pressure; D006801:Humans; D006973:Hypertension / Q000503:physiopathology; D008433:Mathematics; D015233:Models, Statistical; D011336:Probability; D012107:Research Design