A sequential Monte Carlo approach to design for population pharmacokinetics studies

McGree, J.M., Drovandi, C.C., & Pettitt, A.N. (2012) A sequential Monte Carlo approach to design for population pharmacokinetics studies. Journal of Pharmacokinetics and Pharmacodynamics, 39(5), pp. 519-526.

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Here we present a sequential Monte Carlo approach that can be used to find optimal designs. Our focus is on the design of phase III clinical trials where the derivation of sampling windows is required, along with the optimal sampling schedule. The search is conducted via a particle filter which traverses a sequence of target distributions artificially constructed via an annealed utility. The algorithm derives a catalogue of highly efficient designs which, not only contain the optimal, but can also be used to derive sampling windows. We demonstrate our approach by designing a hypothetical phase III clinical trial.

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2 citations in Scopus
2 citations in Web of Science®
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ID Code: 46540
Item Type: Journal Article
Refereed: Yes
Keywords: Optimal design, Particle filter, Sampling windows, Sequential Monte Carlo, Utility
DOI: 10.1007/s10928-012-9265-1
ISSN: 1573-8744
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2012 Springer
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 20 Oct 2011 00:33
Last Modified: 20 Apr 2017 08:21

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