Estimating equations for kappa statistics | Zendy

Thompson John R. | Zendy

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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.

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