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dc.contributor.authorBailey, Rosemary Anne
dc.contributor.authorDruilhet, Pierre
dc.identifier.citationBailey , R A & Druilhet , P 2014 , ' Optimal cross-over designs for full interaction models ' , Annals of Statistics , vol. 42 , no. 6 , pp. 2282-2300 .
dc.identifier.otherPURE: 157392570
dc.identifier.otherPURE UUID: 4d00649a-c9b5-4ae3-b47e-c82744356d60
dc.identifier.otherScopus: 84908212232
dc.identifier.otherORCID: /0000-0002-8990-2099/work/39600092
dc.identifier.otherWOS: 000345884900005
dc.description.abstractWe consider repeated measurement designs when a residual or carry-over effect may be present in at most one later period. Since assuming an additive model may be unrealistic for some applications and leads to biased estimation of treatment effects, we consider a model with interactions between carry-over and direct treatment effects. When the aim of the experiment is to study the effects of a treatment used alone, we obtain universally optimal approximate designs. We also propose some efficient designs with a reduced number of subjects.
dc.relation.ispartofAnnals of Statisticsen
dc.rights© 2014. Institute of Mathematical Statistics.This is an electronic reprint of a work that was published in The Annals of Statistics DOI
dc.subjectCross-over designsen
dc.subjectRepeated measurement designsen
dc.subjectInterference modelsen
dc.subjectOptimal designen
dc.subjectTotal effectsen
dc.subjectHA Statisticsen
dc.subjectQA Mathematicsen
dc.titleOptimal cross-over designs for full interaction modelsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.description.statusPeer revieweden

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