Suppr超能文献

K×K表格中可靠性和有效性的机遇校正测量方法。

Chance-corrected measures of reliability and validity in K x K tables.

作者信息

Andrés A Martín, Marzo P Femia

机构信息

Bioestadística, Facultad de Medicina, 1807 Granada, Spain.

出版信息

Stat Methods Med Res. 2005 Oct;14(5):473-92. doi: 10.1191/0962280205sm412oa.

Abstract

When studying the degree of overall agreement between the nominal responses of two raters, it is customary to use the coefficient kappa. A more detailed analysis requires the evaluation of the degree of agreement category by category, and this is carried out in two different ways: using the value of kappa in the collapsed table for each category or using the agreement index for each category (proportion of agreements observed). Both indices have disadvantages: the former is sensitive to marginal totals; the latter is not chance corrected; and neither distinguishes the case where one of the two raters is a gold standard (an expert) from the case where neither rater is a gold standard. This article suggests five chance-corrected indices which are not sensitive to marginal totals and which differ depending on whether there is a standard rater. The article also justifies the reason for poor performance of kappa when the two marginal totals are unbalanced (especially if they are so in opposite directions) and the reason for its good performance when analysing the various 2 x 2 tables obtained by the collapse of a wider table.

摘要

在研究两位评分者名义反应之间的总体一致性程度时,通常会使用卡帕系数。更详细的分析需要逐类别评估一致性程度,这可以通过两种不同的方式进行:使用每个类别的合并表中的卡帕值,或者使用每个类别的一致性指数(观察到的一致比例)。这两个指数都有缺点:前者对边际总数敏感;后者没有进行机遇校正;而且两者都无法区分两位评分者中有一位是金标准(专家)的情况和两位评分者都不是金标准的情况。本文提出了五个机遇校正指数,它们对边际总数不敏感,并且根据是否有标准评分者而有所不同。本文还阐述了在两个边际总数不平衡时(特别是如果它们方向相反)卡帕系数表现不佳的原因,以及在分析通过合并更宽表格得到的各种2×2表格时其表现良好的原因。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验