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Regression Models for the Mean of the Quality-of-Life-Adjusted Restricted Survival Time Using Pseudo-Observations

dc.contributor.authorAndrei, Adin-Cristianen_US
dc.contributor.authorMurray, Susanen_US
dc.date.accessioned2010-04-01T15:51:04Z
dc.date.available2010-04-01T15:51:04Z
dc.date.issued2007-06en_US
dc.identifier.citationAndrei, Adin-Cristian; Murray, Susan (2007). "Regression Models for the Mean of the Quality-of-Life-Adjusted Restricted Survival Time Using Pseudo-Observations." Biometrics 63(2): 398-404. <http://hdl.handle.net/2027.42/66346>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/66346
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17688492&dopt=citationen_US
dc.description.abstractIn this research we develop generalized linear regression models for the mean of a quality-of-life-adjusted restricted survival time. Parameter and standard error estimates could be obtained from generalized estimating equations applied to pseudo-observations. Simulation studies with moderate sample sizes are conducted and an example from the International Breast Cancer Study Group Ludwig Trial V is used to illustrate the newly developed methodology.en_US
dc.format.extent122813 bytes
dc.format.extent3110 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Incen_US
dc.rights2006, The International Biometric Societyen_US
dc.subject.otherGap Timeen_US
dc.subject.otherInverse Weightingen_US
dc.subject.otherNonparametricen_US
dc.subject.otherQuality-of-Lifeen_US
dc.subject.otherSuccessive Eventsen_US
dc.titleRegression Models for the Mean of the Quality-of-Life-Adjusted Restricted Survival Time Using Pseudo-Observationsen_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, U.S.A.en_US
dc.identifier.pmid17688492en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/66346/1/j.1541-0420.2006.00723.x.pdf
dc.identifier.doi10.1111/j.1541-0420.2006.00723.xen_US
dc.identifier.sourceBiometricsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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