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Article: Marginal analysis of correlated failure time data with informative cluster sizes

TitleMarginal analysis of correlated failure time data with informative cluster sizes
Authors
KeywordsCorrelated failure time
Multivariate survival analysis
Weighted score function
Within-cluster resampling
Issue Date2007
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
Citation
Biometrics, 2007, v. 63 n. 3, p. 663-672 How to Cite?
AbstractWe consider modeling correlated survival data when cluster sizes may be informative to the outcome of interest based on a within-cluster resampling (WCR) approach and a weighted score function (WSF) method. We derive the large sample properties for the WCR estimators under the Cox proportional hazards model. We establish consistency and asymptotic normality of the regression coefficient estimators, and the weak convergence property of the estimated baseline cumulative hazard function. The WSF method is to incorporate the inverse of cluster sizes as weights in the score function. We conduct simulation studies to assess and compare the finite-sample behaviors of the estimators and apply the proposed methods to a dental study as an illustration. © 2006, The International Biometric Society.
Persistent Identifierhttp://hdl.handle.net/10722/146585
ISSN
2015 Impact Factor: 1.36
2015 SCImago Journal Rankings: 1.906
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCong, XJen_HK
dc.contributor.authorYin, Gen_HK
dc.contributor.authorShen, Yen_HK
dc.date.accessioned2012-05-02T08:37:12Z-
dc.date.available2012-05-02T08:37:12Z-
dc.date.issued2007en_HK
dc.identifier.citationBiometrics, 2007, v. 63 n. 3, p. 663-672en_HK
dc.identifier.issn0006-341Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/146585-
dc.description.abstractWe consider modeling correlated survival data when cluster sizes may be informative to the outcome of interest based on a within-cluster resampling (WCR) approach and a weighted score function (WSF) method. We derive the large sample properties for the WCR estimators under the Cox proportional hazards model. We establish consistency and asymptotic normality of the regression coefficient estimators, and the weak convergence property of the estimated baseline cumulative hazard function. The WSF method is to incorporate the inverse of cluster sizes as weights in the score function. We conduct simulation studies to assess and compare the finite-sample behaviors of the estimators and apply the proposed methods to a dental study as an illustration. © 2006, The International Biometric Society.en_HK
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_HK
dc.relation.ispartofBiometricsen_HK
dc.subjectCorrelated failure timeen_HK
dc.subjectMultivariate survival analysisen_HK
dc.subjectWeighted score functionen_HK
dc.subjectWithin-cluster resamplingen_HK
dc.subject.meshBias (Epidemiology)en_US
dc.subject.meshBiometry - Methodsen_US
dc.subject.meshCluster Analysisen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshMortalityen_US
dc.subject.meshMultivariate Analysisen_US
dc.subject.meshOutcome Assessment (Health Care) - Methodsen_US
dc.subject.meshProportional Hazards Modelsen_US
dc.subject.meshRisk Assessment - Methodsen_US
dc.subject.meshRisk Factorsen_US
dc.subject.meshSample Sizeen_US
dc.subject.meshStatistics As Topicen_US
dc.subject.meshSurvival Analysisen_US
dc.subject.meshSurvival Rateen_US
dc.titleMarginal analysis of correlated failure time data with informative cluster sizesen_HK
dc.typeArticleen_HK
dc.identifier.emailYin, G: gyin@hku.hken_HK
dc.identifier.authorityYin, G=rp00831en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/j.1541-0420.2006.00730.xen_HK
dc.identifier.pmid17825000-
dc.identifier.scopuseid_2-s2.0-34548445594en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34548445594&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume63en_HK
dc.identifier.issue3en_HK
dc.identifier.spage663en_HK
dc.identifier.epage672en_HK
dc.identifier.isiWOS:000248947200006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridCong, XJ=8893322100en_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK
dc.identifier.scopusauthoridShen, Y=7404766770en_HK
dc.identifier.citeulike1618444-

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