| Literature DB >> 11568947 |
Abstract
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.Mesh:
Year: 2001 PMID: 11568947 DOI: 10.1002/sim.603
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373