Criterion-free diagnostics
Researchers are often (correctly) discouraged from reporting measures of diagnostic performance derived from a single, arbitrary criterion, and should rather describe the test’s performance across all possible criteria. For these purposes, researchers plot the receiver operating characteristic (ROC) curve, from which the area under the curve (AUC) is derived and provides a non-parametric, criterion-free estimate of the test’s sensitivity. When deriving the AUC for BSITER scores, we suggest using a large number of iterations (e.g., 10,000). Or, if one has already conducted the rBS test, the average BSITER score from this test can be used.