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dc.contributor.authorBailey, R. A.
dc.contributor.authorCameron, Peter J.
dc.date.accessioned2019-01-25T11:30:05Z
dc.date.available2019-01-25T11:30:05Z
dc.date.issued2019-04-18
dc.identifier.citationBailey , R A & Cameron , P J 2019 , ' Multi-part balanced incomplete-block designs ' Statistical Papers , vol. 60 , no. 2 , pp. 55-76 . https://doi.org/10.1007/s00362-018-01071-xen
dc.identifier.issn0932-5026
dc.identifier.otherPURE: 256940027
dc.identifier.otherPURE UUID: f1dcbaba-8dce-489c-9d46-8f49e4220069
dc.identifier.otherScopus: 85060612071
dc.identifier.otherORCID: /0000-0002-8990-2099/work/53214515
dc.identifier.otherORCID: /0000-0003-3130-9505/work/58055639
dc.identifier.urihttp://hdl.handle.net/10023/16933
dc.description.abstractWe consider designs for cancer trials which allow each medical centre to treat only a limited number of cancer types with only a limited number of drugs. We specify desirable properties of these designs, and prove some consequences. Then we give several different constructions. Finally we generalize this to three or more factors, such as biomarkers.
dc.format.extent22
dc.language.isoeng
dc.relation.ispartofStatistical Papersen
dc.rights© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectBalanced incomplete-block designen
dc.subjectBasket trialen
dc.subjectMulti-part designen
dc.subjectOrthogonal arrayen
dc.subjectOrthogonal multi-arrayen
dc.subjectQA Mathematicsen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectT-NDASen
dc.subject.lccQAen
dc.subject.lccRC0254en
dc.subject.lccRMen
dc.titleMulti-part balanced incomplete-block designsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Centre for Interdisciplinary Research in Computational Algebraen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Pure Mathematicsen
dc.identifier.doihttps://doi.org/10.1007/s00362-018-01071-x
dc.description.statusPeer revieweden


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