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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3129

Title: Construction of an optimal destructive sampling design for noncompartmental AUC estimation
Authors: Vandenhende, F
Comblain, M
Delsemme, MH
Dewe, W
Hoffman, WP
Boulanger, B
Issue Date: 1999
Publisher: KLUWER ACADEMIC/PLENUM PUBL
Citation: JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS, 27(2). p. 191-212
Abstract: Based on toxicokinetic studies of a destructive sampling design, this work was aimed at selecting the number of time points, their locations, and the number of replicates per time point in order to obtain the most accurate and precise noncompartmental estimate of the area under the concentration-time curve (AUC). From a prior population pharmacokinetic model, the design is selected to minimize the scaled mean squared error of AUC. Designs are found for various sample sizes, number of time paints, and a distribution of animals across time points from being very unbalanced to balanced. Their efficiencies are compared both theoretically and based on simulations. An algorithm has been implemented for this purpose using the symbolic resolution and numerical minimization capabilities of Mathematica(TM) and an example of its use is provided. This method provides efficient tools for constructing, validating and comparing optimal sampling designs for destructive sampled toxicokinetic studies.
Notes: Eli Lilly & Co, Stat & Math Sci, B-1348 Mt St Guibert, Belgium. Limburgs Univ Ctr, Dept Biostat, B-3590 Diepenbeek, Belgium. Eli Lilly & Co, Stat & Math Sci, Greenfield, IN 46140 USA.Boulanger, B, Eli Lilly & Co, Stat & Math Sci, 11 Rue Granbonpre, B-1348 Mt St Guibert, Belgium.
URI: http://hdl.handle.net/1942/3129
ISI #: 000083111800004
ISSN: 0090-466X
Type: Journal Contribution
Validation: ecoom, 2000
Appears in Collections: Non-affiliated authors
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