Kappa coefficients in medical research
Kappa coefficients in medical research
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DOI：
10.1002/sim.1180
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发表时间：
2002-07-30
影响因子：
2
通讯作者：
Noda, A
中科院分区：
文献类型：
--
作者：
Kraemer, HC;Periyakoil, VS;Noda, A
Kappa系数是分类变量之间的相关性度量，通常用作信度或效度系数。我们概括了M(评级)Kappas(K X M)对K(类别)的发展和定义，讨论了它们设计得好或不好的地方，并总结了Kappas在医学研究中的应用。2xM(M大于或等于2)组内kappa似乎是二元可靠性的理想测量；2x2加权kappa是一个很好的选择，尽管不是唯一的，作为有效性测量。对于类内Kappas和加权Kappas，我们都解决了Kappas的持续问题。在任何情况下，对K&>2或M&>2使用K x M内类(K&>2)或各种K x M加权Kappa都存在严重问题，要么是因为它们传递的信息不完整且可能具有误导性，要么是因为其他方法比使用它们更可取。我们举例说明了推荐的Kappas在医学研究中的应用。版权所有(C)2002 John Wiley Sons，Ltd.
Kappa coefficients are measures of correlation between categorical variables often used as reliability or validity coefficients. We recapitulate development and definitions of the K (categories) by M (ratings) kappas (K x M), discuss what they are well- or ill-designed to do, and summarize where kappas now stand with regard to their application in medical research. The 2 x M (M greater than or equal to 2) intraclass kappa seems the ideal measure of binary reliability; a 2 x 2 weighted kappa is an excellent choice, though not a unique one, as a validity measure. For both the intraclass and weighted kappas, we address continuing problems with kappas. There are serious problems with using the K x M intraclass (K > 2) or the various K x M weighted kappas for K > 2 or M > 2 in any context, either because they convey incomplete and possibly misleading information, or because other approaches are preferable to their use. We illustrate the use of the recommended kappas with applications in medical research. Copyright (C) 2002 John Wiley Sons, Ltd.