Presentation
Sparse sampling designs: a new method for estimating the complete AUC and its standard error
Author: Navarro-Fontestad MC, University of Valencia.
Names and affiliation of other authors:
Fernández-Teruel C, González-Álvarez I, Bermejo M, Casabo VG (University of Valencia, Spain)
Oral or poster: Poster
Abstract:
The area under the curve (AUC) is a pharmacokinetic parameter widely used in toxicokinetics and bioequivalence studies as a measure of drug exposure. In order to perform statistical comparisons, the parameter values and their variances in the different groups/treatments are necessaries, but depending on the experimental design the estimation may be unfeasible, principally the standard error of estimated parameter. The AUC value estimation is based on the trapezoidal rule, as was described by Yuan1. A new mathematical method for AUC standard error calculation in different sampling designs has been already developed. This procedure can be applied to any design for non-compartmental AUC estimation and also estimates accurately the standard error of the AUC under any circumstance. Moreover, the procedure shows the AUC estimation is more accurate in designs with more subjects for the same number of samples.