Smith W D, Dutton R C, Smith N T
Biomedical Engineering Program, California State University, Sacramento, Sacramento 95819-6019, USA.
Stat Med. 1996 Jun 15;15(11):1199-215. doi: 10.1002/(SICI)1097-0258(19960615)15:11<1199::AID-SIM218>3.0.CO;2-Y.
There is a need for a measure of prediction accuracy that generalizes non-parametric receiver operating characteristic (ROC) area to polytomous ordinal patient state. We describe such a measure, prediction probability PK derived from Kim's measure of association. We show that the value of PK equals the value of non-parametric ROC area for dichotomous patient state and is a meaningful generalization of non-parametric ROC area for polytomous state.
需要一种预测准确性的度量方法，将非参数接收器操作特征（ROC）面积推广到多分类有序患者状态。我们描述了这样一种度量方法，即从金氏关联度量导出的预测概率PK。我们表明，对于二分类患者状态，PK的值等于非参数ROC面积的值，并且是多分类状态下非参数ROC面积的有意义的推广。
