What's under the ROC? An Introduction to Receiver Operating Characteristics Curves

By D. Streiner, J. Cairney. Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2007

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Burnout Assessment Tool (BAT)—Development, Validity, and Reliability (2020, methodology): “Using Relative Operating Characteristics Analysis, or ROC analysis [75], an optimum cut-off value for the BAT can be calculated to discriminate “cases” from “non-cases”, taking into account both its specificity (the probability of a negative result) as well as its sensitivity (the probability of a p”
The Receiver-Operating Characteristic (Roc) Analysis: Fundamentals and Applications in Clinical Psychology (2009, methodology): “When the two compared curves do not intersect one another, an analysis can be made simply by comparing the ROC curves corresponding to the two tests (Streiner & Cairney, 2007).”
A Long-Term Evaluation of Sensing Modalities for Activity Recognition (2007, background): “[ 17 ]). Note though that ROC area is an overall measure of goodness.”
ROC analysis: applications to the classification of biological sequences and 3D structures (2008, background): “comparison of the complete AUC values is not very informative [30].”
The world turns at 33 and 45: Defining simple cutoff scores for the Negative Acts Questionnaire–Revised in a representative sample (2013, methodology): “ROC relies upon “a gold standard” for the construction of such cutoff values (Streiner & Cairney, 2007 ).”