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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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Comparing sampling methods for pharmacokinetic studies using model averaged derived parameters
AU - Barnett, Helen Yvette
AU - Geys, Helena
AU - Jacobs, Tom
AU - Jaki, Thomas
N1 - 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.
PY - 2017/11/30
Y1 - 2017/11/30
N2 - 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.
AB - 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.
KW - comparing sampling methods
KW - derived parameters
KW - equivalence testing
KW - multiple comparison
KW - pharmacokinetic studies
KW - simultaneous inference
U2 - 10.1002/sim.7436
DO - 10.1002/sim.7436
M3 - Journal article
VL - 36
SP - 4301
EP - 4315
JO - Statistics in Medicine
JF - Statistics in Medicine
SN - 0277-6715
IS - 27
ER -