Centor R M
Med Decis Making. 1985 Summer;5(2):139-48. doi: 10.1177/0272989X8500500203.
The area under the ROC curve interests us as a method for analyzing discrimination or detectability. One can assess a diagnostic test or probability assessor with respect to its degree of discrimination. The area under the ROC curve gives us the probability of correctly identifying abnormal from normal in a forced-choice, two-alternative problem. Previous methods used for calculating the area involved maximum likelihood estimation on a mainframe or minicomputer. This paper demonstrates an adaptation of a recently published nonparametric method for estimating the area. This adaptation takes advantage of electronic spreadsheet software and may be used on most (if not all) microcomputers. The paper develops the construction of the program needed for the necessary calculations.
作为一种分析辨别力或可检测性的方法，ROC曲线下的面积引起了我们的兴趣。人们可以根据其辨别程度来评估一种诊断测试或概率评估器。ROC曲线下的面积为我们提供了在强制选择的二选一问题中正确区分异常与正常的概率。以前用于计算该面积的方法涉及在大型机或小型计算机上进行最大似然估计。本文展示了一种对最近发表的用于估计该面积的非参数方法的改编。这种改编利用了电子表格软件，并且可以在大多数（如果不是全部）微型计算机上使用。本文阐述了进行必要计算所需程序的构建。
