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Article: Additive hazards model with multivariate failure time data

TitleAdditive hazards model with multivariate failure time data
Authors
KeywordsCensoring
Confidence band
Correlated survival data
Counting process
Estimating equation
Semiparametric
Survival function
Issue Date2004
PublisherOxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/
Citation
Biometrika, 2004, v. 91 n. 4, p. 801-818 How to Cite?
AbstractMarginal additive hazards models are considered for multivariate survival data in which individuals may experience events of several types and there may also be correlation between individuals. Estimators are proposed for the parameters of such models and for the baseline hazard functions. The estimators of the regression coeffcients are shown asymptotically to follow a multivariate normal distribution with a sandwich-type covariance matrix that can be consistently estimated. The estimated baseline and subject-specific cumulative hazard processes are shown to converge weakly to a zero-mean Gaussian random field. The weak convergence properties for the corresponding survival processes are established. A resampling technique is proposed for constructing simultaneous confidence bands for the survival curve of a specific subject. The methodology is extended to a multivariate version of a class of partly parametric additive hazards model. Simulation studies are conducted to assess finite sample properties, and the method is illustrated with an application to development of coronary heart diseases and cardiovascular accidents in the Framingham Heart Study. © 2004 Biometrika Trust.
Persistent Identifierhttp://hdl.handle.net/10722/146569
ISSN
2015 Impact Factor: 1.13
2015 SCImago Journal Rankings: 2.801
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYin, Gen_HK
dc.contributor.authorCai, Jen_HK
dc.date.accessioned2012-05-02T08:37:04Z-
dc.date.available2012-05-02T08:37:04Z-
dc.date.issued2004en_HK
dc.identifier.citationBiometrika, 2004, v. 91 n. 4, p. 801-818en_HK
dc.identifier.issn0006-3444en_HK
dc.identifier.urihttp://hdl.handle.net/10722/146569-
dc.description.abstractMarginal additive hazards models are considered for multivariate survival data in which individuals may experience events of several types and there may also be correlation between individuals. Estimators are proposed for the parameters of such models and for the baseline hazard functions. The estimators of the regression coeffcients are shown asymptotically to follow a multivariate normal distribution with a sandwich-type covariance matrix that can be consistently estimated. The estimated baseline and subject-specific cumulative hazard processes are shown to converge weakly to a zero-mean Gaussian random field. The weak convergence properties for the corresponding survival processes are established. A resampling technique is proposed for constructing simultaneous confidence bands for the survival curve of a specific subject. The methodology is extended to a multivariate version of a class of partly parametric additive hazards model. Simulation studies are conducted to assess finite sample properties, and the method is illustrated with an application to development of coronary heart diseases and cardiovascular accidents in the Framingham Heart Study. © 2004 Biometrika Trust.en_HK
dc.languageengen_US
dc.publisherOxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/en_HK
dc.relation.ispartofBiometrikaen_HK
dc.subjectCensoringen_HK
dc.subjectConfidence banden_HK
dc.subjectCorrelated survival dataen_HK
dc.subjectCounting processen_HK
dc.subjectEstimating equationen_HK
dc.subjectSemiparametricen_HK
dc.subjectSurvival functionen_HK
dc.titleAdditive hazards model with multivariate failure time dataen_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.doi10.1093/biomet/91.4.801en_HK
dc.identifier.scopuseid_2-s2.0-25844484660en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-25844484660&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume91en_HK
dc.identifier.issue4en_HK
dc.identifier.spage801en_HK
dc.identifier.epage818en_HK
dc.identifier.isiWOS:000225940000003-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK
dc.identifier.scopusauthoridCai, J=7403153136en_HK
dc.identifier.citeulike163744-

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