Background It is vital for clinicians to understand and interpret correctly medical statistics as
used in clinical studies. In this review, we address current issues and focus on delivering a …

In surgical research, the ability to correctly classify one type of condition or specific outcome
from another is of great importance for variables influencing clinical decision making …

Methods We collected data on 27 ROC curves from our own research and from the
published literature. These curves utilized from four to seven cutoff points. For each ROC …

Diagnostic medicine has progressed tremendously in the last several decades, and the
trend promises to continue well into the next millennium. Advances in technology provide …

Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical
research. Designed to simultaneously display the operating characteristics at every possible …

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

Relative (or receiver) operating characteristic (ROC) curves are a graphical representation
of the relationship between sensitivity and specificity of a laboratory test over all possible …

Receiver operating characteristic (ROC) analysis is commonly used in clinical radiology
research to express the diagnostic accuracy of imaging examinations. Many excellent …

OBJECTIVES: We developed a method of comparing receiver operating characteristic
(ROC) curves on the basis of the utilities associated with their optimal operating points …