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Estimating equations for kappa statistics
Author(s) -
Thompson John R.
Publication year - 2001
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.603
Subject(s) - bivariate analysis , kappa , statistics , measure (data warehouse) , computer science , bivariate data , cohen's kappa , summary statistics , mathematics , econometrics , data mining , geometry
Kappa statistics are often used for measuring agreement or association. The original measure suggested by Cohen for use with nominal data has since been generalized in a number of ways, including the incorporation of weights, adaptation for use with more than one rater and the application to bivariate data. Each modification requires a new approximation to the standard error and these have usually been derived by the delta method. This paper illustrates the use of estimating equations for kappa which offer a unified approach to many previously considered situations and which is also applicable to more complex designs. Copyright © 2001 John Wiley & Sons, Ltd.