A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets

• Published in: Statistics in medicine Vol. 21; no. 5; pp. 701 - 715
• Main Authors: Zhang, Dong D., Zhou, Xia-Hua, Freeman Jr, Daniel H., Freeman, Jean L.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 15.03.2002; Wiley
• Subjects: Area Under Curve; area under ROC curve; Biological and medical sciences; breast cancer; Breast Neoplasms - diagnosis; Breast Neoplasms - economics; Breast Neoplasms - epidemiology; Breast Neoplasms - therapy; Computerized, statistical medical data processing and models in biomedicine; Epidemiology; Female; Humans; Medical sciences; Medical statistics; Medicare - statistics & numerical data; medicare claims; Models, Statistical; non-parametric method; portions of two ROC curves; ROC Curve; Statistics, Nonparametric; Tumors; Human; Non parametric method; Malignant tumor; Epidemiology; Statistical method; Mammary gland diseases; Logistic regression; Sensitivity; Specificity; Receiver operating characteristic curves; Predictive value; Curved surface; Mammary gland; Medical application; Survival curve; Comparative study

The receiver operating characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostic tests. Investigators often compare the validity of two tests based on the estimated areas under the respective ROC curves. However, the traditional way of comparing entire areas under tw...