A general method to determine sampling windows for nonlinear mixed effects models with an application to population pharmacokinetic studies

Foo, Lee Kien, McGree, James, & Duffull, Stephen (2012) A general method to determine sampling windows for nonlinear mixed effects models with an application to population pharmacokinetic studies. Pharmaceutical Statistics, 11(4), pp. 325-333.

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Optimal design methods have been proposed to determine the best sampling times when sparse blood sampling is required in clinical pharmacokinetic studies. However, the optimal blood sampling time points may not be feasible in clinical practice. Sampling windows, a time interval for blood sample collection, have been proposed to provide flexibility in blood sampling times while preserving efficient parameter estimation. Because of the complexity of the population pharmacokinetic models, which are generally nonlinear mixed effects models, there is no analytical solution available to determine sampling windows. We propose a method for determination of sampling windows based on MCMC sampling techniques. The proposed method attains a stationary distribution rapidly and provides time-sensitive windows around the optimal design points. The proposed method is applicable to determine sampling windows for any nonlinear mixed effects model although our work focuses on an application to population pharmacokinetic models.

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3 citations in Scopus
4 citations in Web of Science®
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ID Code: 52929
Item Type: Journal Article
Refereed: Yes
Keywords: D-optimal design, MCMC sampling, pharmacokinetic, sampling windows
DOI: 10.1002/pst.1509
ISSN: 1539-1612
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 John Wiley & Sons, Ltd.
Deposited On: 05 Aug 2012 22:50
Last Modified: 12 Jun 2013 15:05

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