Interpreting the ROC curve involves understanding the trade-offs between sensitivity and specificity. A test with high sensitivity but low specificity might result in many false positives, whereas a test with high specificity but low sensitivity might miss true positives. The optimal threshold is often chosen by maximizing the Youden Index, which balances sensitivity and specificity. In toxicology, the choice of threshold can depend on the context, such as whether it is more critical to avoid false negatives or false positives.
