This review provides the basic principle and rational for ROC analysis of rating and
continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in …

The area under the curve (AUC) is commonly used as a summary measure of the receiver
operating characteristic (ROC) curve. It indicates the overall performance of a diagnostic test …

The area under the receiver operating characteristic curve is frequently used to assess the
effectiveness of diagnostic markers in distinguishing between diseased and healthy …

Sensitivity and specificity are the basic measures of accuracy of a diagnostic test; however,
they depend on the cut point used to define “positive” and “negative” test results. As the cut …

The receiver operating characteristic (ROC) curve describes the relationship between the
false positive fraction and true negative fraction associated with a diagnostic test as the test …

The clinical performance of a laboratory test can be described in terms of diagnostic
accuracy, or the ability to correctly classify subjects into clinically relevant subgroups …

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 …

Various approaches have been proposed for evaluating the diagnostic value of biochemical
markers. Careful design of experimental protocol is key in carrying out any evaluation of …

The authors present a method to combine several independent studies of the same
(continuous or semiquantitative) diagnostic test, where each study reports a complete ROC …

ROC curves are frequently used to show in a graphical way the connection/trade-off
between clinical sensitivity and specificity for every possible cut-off for a test or a …