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  • Comparing sampling methods for pharmacokinetic studies using model averaged derived parameters

    Rights statement: This is the peer reviewed version of the following article: Barnett HY, Geys H, Jacobs T, Jaki T. Comparing sampling methods for pharmacokinetic studies using model averaged derived parameters. Statistics in Medicine. 2017;36:4301–4315. https://doi.org/10.1002/sim.7436 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/sim.7436/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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Comparing sampling methods for pharmacokinetic studies using model averaged derived parameters

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>30/11/2017
<mark>Journal</mark>Statistics in Medicine
Issue number27
Volume36
Number of pages15
Pages (from-to)4301-4315
Publication statusPublished
Early online date8/08/17
Original languageEnglish

Abstract

Pharmacokinetic studies aim to study how a compound is absorbed, distributed, metabolised, and excreted. The concentration of the compound in the blood or plasma is measured at different time points after administration and pharmacokinetic parameters such as the area under the curve (AUC) or maximum concentration (C max ) are derived from the resulting concentration time profile. In this paper, we want to compare different methods for collecting concentration measurements (traditional sampling versus microsampling) on the basis of these derived parameters. We adjust and evaluate an existing method for testing superiority of multiple derived parameters that accounts for model uncertainty. We subsequently extend the approach to allow testing for equivalence. We motivate the methods through an illustrative example and evaluate the performance using simulations. The extensions show promising results for application to the desired setting.

Bibliographic note

This is the peer reviewed version of the following article: Barnett HY, Geys H, Jacobs T, Jaki T. Comparing sampling methods for pharmacokinetic studies using model averaged derived parameters. Statistics in Medicine. 2017;36:4301–4315. https://doi.org/10.1002/sim.7436 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/sim.7436/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.