Reference : A bootstrap method for comparing correlated kappa coefficients
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/2259
A bootstrap method for comparing correlated kappa coefficients
English
Vanbelle, Sophie mailto [Université de Liège - ULg > Département des sciences de la santé publique > Département des sciences de la santé publique >]
Albert, Adelin mailto [Université de Liège - ULg > Département des sciences de la santé publique > Informatique médicale et biostatistique - Département de mathématique >]
Nov-2008
Journal of Statistical Computation & Simulation
Taylor & Francis Ltd
78
11
1009-1015
Yes (verified by ORBi)
International
0094-9655
Abingdon
United Kingdom
[en] Cohen's kappa ; comparison ; bootstrap
[en] Cohen’s kappa coefficient is traditionally used to quantify the degree of agreement between two raters on a nominal scale. Correlated kappas occur in many settings (e.g., repeated agreement by raters on the same individuals, concordance between diagnostic tests and a gold standard) and often need to be compared. While different techniques are now available to model correlated κ coefficients, they are generally not easy to implement in practice. The present paper describes a simple alternative method based on the bootstrap for comparing correlated kappa coefficients. The method is illustrated by examples and its type I error studied using simulations. The method is also compared with the generalized estimating equations of the second order and the weighted least-squares methods.
http://hdl.handle.net/2268/2259
10.1080/00949650701410249
http://www.informaworld.com/smpp/content~content=a902366943~db=all~order=page
is an electronic version of an article published in the Journal of Statistical Computation and Simulation.

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