Estimation of population pharmacokinetics using the Gibbs sampler
Identifieur interne : 002C63 ( Main/Merge ); précédent : 002C62; suivant : 002C64Estimation of population pharmacokinetics using the Gibbs sampler
Auteurs : G. Best [Royaume-Uni] ; C. Tan [Royaume-Uni] ; R. Gilks [Royaume-Uni] ; J. Spiegelhalter [Royaume-Uni]Source :
- Journal of Pharmacokinetics and Biopharmaceutics [ 0090-466X ] ; 1995-08-01.
Abstract
Abstract: Quantification of the average and interindividual variation in pharmacokinetic behavior within the patient population is an important aspect of drug development. Population pharmacokinetic models typically involve large numbers of parameters related nonlinearly to sparse, observational data, which creates difficulties for conventional methods of analysis. The nonlinear mixed-effects method implemented in the computer program NONMEM is a widely used approach to the estimation of population parameters. However, the method relies on somewhat restrictive modeling assumptions to enable efficient parameter estimation. In this paper we describe a Bayesian approach to population pharmacokinetic analysis which used a technique known as Gibbs sampling to simulate values for each model parameter. We provide details of how to implement the method in the context of population pharmacokinetic analysis, and illustrate this via an application to gentamicin population pharmacokinetics in neonates.
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DOI: 10.1007/BF02353641
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Best</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Medical Research Council, Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge</wicri:regionArea><wicri:noRegion>Cambridge</wicri:noRegion></affiliation></author><author><name sortKey="Tan, C" sort="Tan, C" uniqKey="Tan C" first="C." last="Tan">C. Tan</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Clinical Pharmacology Unit, University of Cambridge Clinical School, Addenbrooke's Hospital, Cambridge</wicri:regionArea><wicri:noRegion>Cambridge</wicri:noRegion></affiliation></author><author><name sortKey="Gilks, R" sort="Gilks, R" uniqKey="Gilks R" first="R." last="Gilks">R. Gilks</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Medical Research Council, Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge</wicri:regionArea><wicri:noRegion>Cambridge</wicri:noRegion></affiliation></author><author><name sortKey="Spiegelhalter, J" sort="Spiegelhalter, J" uniqKey="Spiegelhalter J" first="J." last="Spiegelhalter">J. Spiegelhalter</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Medical Research Council, Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge</wicri:regionArea><wicri:noRegion>Cambridge</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Pharmacokinetics and Biopharmaceutics</title><title level="j" type="abbrev">Journal of Pharmacokinetics and Biopharmaceutics</title><idno type="ISSN">0090-466X</idno><idno type="eISSN">1573-8744</idno><imprint><publisher>Kluwer Academic Publishers-Plenum Publishers</publisher><pubPlace>New York</pubPlace><date type="published" when="1995-08-01">1995-08-01</date><biblScope unit="volume">23</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="407">407</biblScope><biblScope unit="page" to="435">435</biblScope></imprint><idno type="ISSN">0090-466X</idno></series><idno type="istex">F7F91F6DA406D3EB411EEEEA9C2AA0365C70A853</idno><idno type="DOI">10.1007/BF02353641</idno><idno type="ArticleID">BF02353641</idno><idno type="ArticleID">Art4</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0090-466X</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Quantification of the average and interindividual variation in pharmacokinetic behavior within the patient population is an important aspect of drug development. Population pharmacokinetic models typically involve large numbers of parameters related nonlinearly to sparse, observational data, which creates difficulties for conventional methods of analysis. The nonlinear mixed-effects method implemented in the computer program NONMEM is a widely used approach to the estimation of population parameters. However, the method relies on somewhat restrictive modeling assumptions to enable efficient parameter estimation. In this paper we describe a Bayesian approach to population pharmacokinetic analysis which used a technique known as Gibbs sampling to simulate values for each model parameter. We provide details of how to implement the method in the context of population pharmacokinetic analysis, and illustrate this via an application to gentamicin population pharmacokinetics in neonates.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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