Feuerman Martin, Miller Allen R
Biostatisticians, Winthrop University Hospital, Academic Affairs Mineola, NY, USA.
J Eval Clin Pract. 2008 Oct;14(5):930-3. doi: 10.1111/j.1365-2753.2008.00984.x.
Cohen's kappa coefficient is presently a standard tool for the analysis of agreement on a binary outcome between two tests. In view of the ubiquity of the use of sensitivity, specificity, raw agreement and kappa in clinical studies, clearly it is advantageous to have a useful analytic relation connecting these measures of agreement.
We elaborate on previous work, comment on other results appearing in the literature and discuss analytic formulas relevant to various problems connecting specificity, sensitivity and kappa.
For selected values of kappa that range from good to excellent, a graph of the curves representing minimal pairs of sensitivity and specificity is provided.
The analytic formulas and graph could be potentially useful to clinicians and biostatisticians in better interpreting the outcomes of an alternative diagnostic test whenever the measures sensitivity, specificity and kappa are employed together.
科恩kappa系数目前是分析两种检测在二元结果上一致性的标准工具。鉴于敏感性、特异性、原始一致性和kappa在临床研究中的广泛应用，显然建立一种连接这些一致性度量的有用分析关系是有优势的。
我们详细阐述先前的工作，对文献中出现的其他结果进行评论，并讨论与连接特异性、敏感性和kappa的各种问题相关的分析公式。
针对从良好到优秀的选定kappa值，提供了表示敏感性和特异性最小对的曲线图表。
每当同时使用敏感性、特异性和kappa这些度量时，这些分析公式和图表可能有助于临床医生和生物统计学家更好地解释替代诊断检测的结果。
