Efficient algorithms for calculating optimal designs in pharmacokinetics and dose finding studies

dc.contributor.authorDette, Holger
dc.contributor.authorHolland-Letz, Tim
dc.contributor.authorRenard, Didier
dc.date.accessioned2010-10-27T11:40:22Z
dc.date.available2010-10-27T11:40:22Z
dc.date.issued2010-10-27
dc.description.abstractRandom effects models are widely used in population pharmacokinetics and dose finding studies. In such models the presence of correlated observations (due to shared random effects and possibly residual serial correlation) usually makes the explicit determination of optimal designs diffcult. In this paper we develop a class of multiplicative algorithms for the numerical calculation of optimal experimental designs in such situations. In particular we demonstrate its application in a concrete example of a cross-over dose finding trial. Additionally, we show that the methodology can be modified to determine optimal designs where there exist some requirements regarding the minimal number of treatments for several (in some cases all) experimental conditions. AMS Subject Classi cation: 62K05en
dc.identifier.urihttp://hdl.handle.net/2003/27439
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15662
dc.language.isoenen
dc.relation.ispartofseriesDiscussion Paper / SFB 823;41/2010
dc.subjectCorrelated observationen
dc.subjectDose-finding studyen
dc.subjectHeteroscedastic regressionen
dc.subjectLocally optimal designen
dc.subjectMultiplicative algorithmen
dc.subjectPharmacokinetic modelen
dc.subjectRandom effecten
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleEfficient algorithms for calculating optimal designs in pharmacokinetics and dose finding studiesen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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