If concentration (X) changes by a quantity, Y (AUC) changes proportionately. This relationship is described as the regression of Y on X, and the linear regression equation is Y = a + bX, where Y – AUC ...

The target area under the plasma-concentration-versus-time curve (AUC)–based dosing of carboplatin using Calvert's formula is expected to result in more acceptable toxicity and greater efficacy in ...

The optimal cut-off for serum bilirubin concentration to predict AA severity was ≥ 0.94 mg/dl (AUC = 0.652; 95% CI: 0.543-0.761) with a 44.9% positive and 83.9% negative predictive value (p = 0.006).