Comparison of non-parametric confidence intervals for the area under the ROC curve of a continuous-scale diagnostic test.
The accuracy of a diagnostic test with continuous-scale results is of high importance in clinical medicine. It is often summarised by the area under the ROC curve (AUC). In this article, we discuss and compare nine non-parametric confidence intervals of the AUC for a continuous-scale diagnostic test. Simulation studies are conducted to evaluate the relative performance of the confidence intervals for the AUC in terms of coverage probability and average interval length. A real example is used to illustrate the application of the recommended methods.
Gengsheng Qin
Department of Mathematics and Statistics, Georgia State University, 30 Pryor Street, Atlanta, GA 30303, USA. gqin@gsu.edu
Hotilovac
Lejla
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D019540:Area Under Curve; D014408:Biomarkers, Tumor / Q000032:analysis; D016001:Confidence Intervals; D003955:Diagnostic Tests, Routine; D016013:Likelihood Functions; D010190:Pancreatic Neoplasms / Q000175:diagnosis; D012372:ROC Curve
D014408:Biomarkers, Tumor