Roldán-Nofuentes J A, Amro R M
a Biostatistics, School of Medicine , University of Granada , Granada , Spain.
b Department of Mathematics, Faculty of Education , Alquds Open University , State of Palestine , Ramallah Palestine.
J Biopharm Stat. 2018;28(5):909-926. doi: 10.1080/10543406.2017.1402781. Epub 2017 Nov 27.
The combination of two binary diagnostic tests in order to increase the accuracy of the diagnosis of a disease is a frequent procedure in clinical practice. When considering the losses associated with an erroneous classification with a binary diagnostic test, the parameter that is used to assess the diagnostic test is the weighted kappa coefficient. The weighted kappa coefficient depends on the sensitivity and the specificity of the diagnostic test, on the disease prevalence and on the weighting index. In this article, we study the combination of the weighted kappa coefficients of two binary diagnostic tests, defining the parameters and studying the conditions under which the combination of the two diagnostic tests increases the value of the weighted kappa coefficient of the combination. The Fieller method has been applied to obtain a confidence interval for the ratio between the combined weighted kappa coefficient and the weighted kappa coefficient of each diagnostic test. A program in R has been written to solve the problem studied and it is available as complementary material. The results have been applied to a real example.
在临床实践中,为提高疾病诊断的准确性而组合两种二元诊断测试是一种常见的操作。在考虑二元诊断测试错误分类所带来的损失时,用于评估诊断测试的参数是加权kappa系数。加权kappa系数取决于诊断测试的敏感性和特异性、疾病患病率以及加权指数。在本文中,我们研究了两种二元诊断测试的加权kappa系数的组合,定义了参数并研究了两种诊断测试的组合增加组合加权kappa系数值的条件。已应用Fieller方法来获得组合加权kappa系数与每种诊断测试的加权kappa系数之比的置信区间。已编写了一个R程序来解决所研究的问题,该程序作为补充材料提供。已将结果应用于一个实际例子。