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Variance estimation for clustered recurrent event data with a small number of clusters

dc.contributor.authorSchaubel, Douglas E.en_US
dc.date.accessioned2006-12-07T16:51:57Z
dc.date.available2006-12-07T16:51:57Z
dc.date.issued2005-10-15en_US
dc.identifier.citationSchaubel, Douglas E. (2005)."Variance estimation for clustered recurrent event data with a small number of clusters." Statistics in Medicine 24(19): 3037-3051. <http://hdl.handle.net/2027.42/48761>en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48761
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=16149126&dopt=citationen_US
dc.description.abstractOften in biomedical studies, the event of interest is recurrent and within-subject events cannot usually be assumed independent. In semi-parametric estimation of the proportional rates model, a working independence assumption leads to an estimating equation for the regression parameter vector, with within-subject correlation accounted for through a robust (sandwich) variance estimator; these methods have been extended to the case of clustered subjects. We consider variance estimation in the setting where subjects are clustered and the study consists of a small number of moderate-to-large-sized clusters. We demonstrate through simulation that the robust estimator is quite inaccurate in this setting. We propose a corrected version of the robust variance estimator, as well as jackknife and bootstrap estimators. Simulation studies reveal that the corrected variance is considerably more accurate than the robust estimator, and slightly more accurate than the jackknife and bootstrap variance. The proposed methods are used to compare hospitalization rates between Canada and the U.S. in a multi-centre dialysis study. Copyright © 2005 John Wiley & Sons, Ltd.en_US
dc.format.extent129120 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.titleVariance estimation for clustered recurrent event data with a small number of clustersen_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 Biostatistics, University of Michigan, Ann Arbor, MI 48109-2029, U.S.A. ; Department of Biostatistics, University of Michigan, 1420 Washington Heights, M4140 SPH-2, Ann Arbor, MI 48109-2029, U.S.A.en_US
dc.identifier.pmid16149126en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48761/1/2157_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/sim.2157en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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