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Nonparametric Rank-Based Methods for Group Sequential Monitoring of Paired Censored Survival Data

dc.contributor.authorMurray, Susanen_US
dc.date.accessioned2010-04-01T15:17:45Z
dc.date.available2010-04-01T15:17:45Z
dc.date.issued2000-12en_US
dc.identifier.citationMurray, Susan (2000). "Nonparametric Rank-Based Methods for Group Sequential Monitoring of Paired Censored Survival Data." Biometrics 56(4): 984-990. <http://hdl.handle.net/2027.42/65768>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/65768
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=11129495&dopt=citationen_US
dc.description.abstractThis research gives methods for nonparametric sequential monitoring of paired censored survival data in the two-sample problem using paired weighted log-rank statistics with adjustments for dependence in survival and censoring outcomes. The joint asymptotic closed-form distribution of these sequentially monitored statistics has a dependent increments structure. Simulations validating operating characteristics of the proposed methods highlight power and size consequences of ignoring even mildly correlated data. A motivating example is presented via the Early Treatment Diabetic Retinopathy Study.en_US
dc.format.extent635035 bytes
dc.format.extent3110 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rightsThe International Biometric Society, 2000en_US
dc.subject.otherClinical Trialen_US
dc.subject.otherCorrelated Times-to-Eventen_US
dc.subject.otherTwo-sample Testen_US
dc.subject.otherWeighted Log Ranken_US
dc.titleNonparametric Rank-Based Methods for Group Sequential Monitoring of Paired Censored Survival Dataen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan 48109-2029, U.S.A. email: skmurray@umich.eduen_US
dc.identifier.pmid11129495en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/65768/1/j.0006-341X.2000.0984.x.pdf
dc.identifier.doi10.1111/j.0006-341X.2000.0984.xen_US
dc.identifier.sourceBiometricsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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