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ROC curves (i.e., true positive rate (sensitivity) vs. false positive rate (100-specificity)) for discriminating observed disease progression with simulated biomarker changes. Solid lines correspond to ROC curves, and the shaded area represents the confidence intervals obtained with bootstrapping
