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Area under the curve and bioavailability

Pharmacological Research, 2000
The Area Under the Curve (AUC) is proportional to the fraction absorbed only if the clearance is constant and the concentration uniform; in all other cases the bioavailability cannot be determined by comparing AUCs.
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Estimation of the area under the ROC curve

Statistics in Medicine, 2002
AbstractThe area under the receiver operating characteristic curve is frequently used as a measure for the effectiveness of diagnostic markers. In this paper we discuss and compare estimation procedures for this area. These are based on (i) the Mann–Whitney statistic; (ii) kernel smoothing; (iii) normal assumptions; (iv) empirical transformations to ...
David, Faraggi, Benjamin, Reiser
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Optimization of the Area under the ROC Curve

2008 10th Brazilian Symposium on Neural Networks, 2008
In this paper, we propose a new binary classification algorithm (AUCtron), based on gradient descent learning, that directly optimizes AUC (area under the ROC curve). We compare it with a linear classifier and with AUCsplit proposed. The AUCtron algorithm implicitly considers class prior probabilities in the decision criteria.
Cristiano Leite Castro   +1 more
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Vancomycin Area Under the Curve Simplified

Therapeutic Drug Monitoring, 2018
Background: Serum trough concentrations as the sole means of monitoring safety and efficacy of vancomycin are insufficient. The daily area under the curve (AUC24) of serum concentration versus time to minimum inhibitory concentration (MIC) ratio of greater than 400 mg × h/L has emerged as a more robust dosing target.
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The problem of Area Under the Curve

2012 IEEE International Conference on Information Science and Technology, 2012
Receiver Operating Characterics curves have recently received considerable attention as mechanisms for comparing different algorithms or experimental results. However the common approach of comparing Area Under the Curve has come in for some criticism with alternatives such as Area Under Kappa and H-measure being proposed as alternative measure ...
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The Use of Areas Under Curves in Diabetes Research

Diabetes Care, 1995
Recently, several articles appearing in the diabetes literature have suggested that many investigators are unclear about a number of issues involving the use of areas under the curve (AUCs). This prompted us to reconsider issues in the calculation, use, meaning, and presentation of AUCs. We discuss five issues: 1) What is a curve and an area?
D B, Allison   +4 more
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area under the curve (AUC)

2009
Area under the concentration/time curve of a substance in pharmacokinetic investigations; describes the extent of the bioavailability of a drug.
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Area Under the Normal Curve

2017
The normal curve serves as a mystery for many students. Students are often shown examples of normally distributed data, in the form of a bell-shape. This curve is called “normal” or “symmetrical.” This normal distribution may show a mean other than 0.
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The area under a curve

2022
James Sneyd   +2 more
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Bias and variance of extrapolated tails for area-under-the-curve (AUC) and area-under-the-moment-curve (AUMC)

Journal of Pharmacokinetics and Biopharmaceutics, 1992
The usual formulas for the extrapolated values of AUC and AUMC from tn to infinity produce estimates that are biased. An empirical correction factor is shown to reduce both bias and variance of estimates. The fitted value Cz at the last time-point tn should normally be used in the formulas, rather than the measured concentration Cn.
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