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An experimental design for the development of adaptive treatment strategies
dc.contributor.authorMurphy, Susan A.en_US
dc.date.accessioned2006-06-21T14:17:02Z
dc.date.available2006-06-21T14:17:02Z
dc.date.issued2005-05-30en_US
dc.identifier.citationMurphy, S. A. (2005)."An experimental design for the development of adaptive treatment strategies." Statistics in Medicine 24(10): 1455-1481. <http://hdl.handle.net/2027.42/39201>en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/39201
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15586395&dopt=citationen_US
dc.description.abstractIn adaptive treatment strategies, the treatment level and type is repeatedly adjusted according to ongoing individual response. Since past treatment may have delayed effects, the development of these treatment strategies is challenging. This paper advocates the use of sequential multiple assignment randomized trials in the development of adaptive treatment strategies. Both a simple ad hoc method for ascertaining sample sizes and simple analysis methods are provided. Copyright © 2004 John Wiley & Sons, Ltd.en_US
dc.format.extent214342 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherMathematics and Statisticsen_US
dc.titleAn experimental design for the development of adaptive treatment strategiesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Statistics, Institute for Social Research, University of Michigan, Ann Arbor, MI, U.S.A. ; Department of Statistics, Institute for Social Research, University of Michigan, Ann Arbor, MI, U.S.A.en_US
dc.identifier.pmid15586395en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/39201/1/2022_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/sim.2022en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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