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Randomization in clinical trials: Conclusions and recommendations

dc.contributor.authorLachin, John M.en_US
dc.contributor.authorMatts, John P.en_US
dc.contributor.authorWei, L. J.en_US
dc.date.accessioned2006-04-07T20:07:31Z
dc.date.available2006-04-07T20:07:31Z
dc.date.issued1988-12en_US
dc.identifier.citationLachin, John M., Matts, John P., Wei, L. J. (1988/12)."Randomization in clinical trials: Conclusions and recommendations." Controlled Clinical Trials 9(4): 365-374. <http://hdl.handle.net/2027.42/27041>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6T5R-47CJF86-2J/2/9c9c9e0e1ce2bfb25fc326727c0a4e12en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27041
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=3203526&dopt=citationen_US
dc.description.abstractThe statistical properties of simple (complete) randomization, permuted-block (or simply blocked) randomization, and the urn adaptive biased-coin randomization are summarized. These procedures are contrasted to covariate adaptive procedures such as minimization and to response adaptive procedures such as the play-the-winner rule. General recommendations are offered regarding the use of complete, permuted-block, or urn randomization. In a large double-masked trial, any of these procedures may be acceptable. For a given trial, the relative merits of each procedure should be carefully weighed in relation to the characteristics of the trial. Important considerations are the size of the trial, overall as well as within the smallest subgroup to be employed in a subgroup-specific analysis, whether or not the trial is to be masked, and the resources needed to perform the proper randomization-based permutational analysis.en_US
dc.format.extent726661 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleRandomization in clinical trials: Conclusions and recommendationsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationotherThe George Washington University, Department of Statistics/Computer and Information Systems, The Biostatistics Center, Rockville, Maryland, USAen_US
dc.contributor.affiliationotherDepartment of Surgery, University of Minnesota, Minneapolis, Minnesota, USAen_US
dc.identifier.pmid3203526en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27041/1/0000029.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0197-2456(88)90049-9en_US
dc.identifier.sourceControlled Clinical Trialsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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