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Computationally Efficient Marginal Models for Clustered Recurrent Event Data

dc.contributor.authorLiu, Dandanen_US
dc.contributor.authorSchaubel, Douglas E.en_US
dc.contributor.authorKalbfleisch, John D.en_US
dc.date.accessioned2012-07-12T17:26:25Z
dc.date.available2013-08-01T14:04:41Zen_US
dc.date.issued2012-06en_US
dc.identifier.citationLiu, Dandan; Schaubel, Douglas E.; Kalbfleisch, John D. (2012). "Computationally Efficient Marginal Models for Clustered Recurrent Event Data." Biometrics 68(2). <http://hdl.handle.net/2027.42/92139>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/92139
dc.publisherBlackwell Publishing Incen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherPiecewise Constanten_US
dc.subject.otherProportional Ratesen_US
dc.subject.otherClustered Recurrent Event Dataen_US
dc.subject.otherInterval‐Grouped Dataen_US
dc.subject.otherLarge Databaseen_US
dc.subject.otherMarginal Modelsen_US
dc.titleComputationally Efficient Marginal Models for Clustered Recurrent Event 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, Ann Arbor, Michigan 48109‐2029, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Biostatistics, Vanderbilt University School of Medicine, 1161 21st Avenue South, Nashville, Tennessee 37232, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/92139/1/j.1541-0420.2011.01676.x.pdf
dc.identifier.doi10.1111/j.1541-0420.2011.01676.xen_US
dc.identifier.sourceBiometricsen_US
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dc.identifier.citedreferenceYe, Y., Kalbfleisch, J., and Schaubel, D. ( 2007 ). Semiparametric analysis of correlated recurrent and terminal events. Biometrics 63, 78 – 87.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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