Receiver operating characteristic (ROC) curves for dyslipidemia. These curves indicate how well a) single diagnostics and b) multivariate regression models distinguish dyslipidemic subjects from normolipidemic subjects. The models in b) subsequently include LDLc, HDLc, TG, and VLDL performance in cumulative fashion. The ROC curve indicates with what sensitivity various diagnostics can identify dyslipidemic subjects, when varying the acceptable false-positive rate. An ROC curve further away from the 1-1 identity line indicates a better diagnostic. For example, when not accepting false positives, the regression model including LDLc, HDLc and TG has a sensitivity of 66% (0.66), while additionally including the VLDL performance diagnostic results in a sensitivity of 91% (0.91).