Multiple studies demonstrate that the sensitivity, specificity, and overall diagnostic accuracy of mental health tests are established using established statistical methods such as receiver operating characteristic (ROC) curves, Youden's index, and optimal cutoff score analyses.
The claim states that sensitivity and specificity for mental health tests are determined through specific statistical methods. All relevant papers describing validation procedures explicitly mention calculating sensitivity, specificity, area under the curve (AUC), receiver operating characteristic (ROC) curves, and related psychometric or statistical metrics to validate these tests against criteria standards. Therefore, the evidence consistently supports the claim.