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Article: Joint modelling of event counts and survival times

TitleJoint modelling of event counts and survival times
Authors
KeywordsCensored point process
Epilepsy
Event rate
Recurrent event
Survival analysis
Issue Date2006
PublisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/RSSC
Citation
Journal Of The Royal Statistical Society. Series C: Applied Statistics, 2006, v. 55 n. 1, p. 31-39 How to Cite?
AbstractIn studies of recurrent events, such as epileptic seizures, there can be a large amount of information about a cohort over a period of time, but current methods for these data are often unable to utilize all of the available information. The paper considers data which include post-treatment survival times for individuals experiencing recurring events, as well as a measure of the base-line event rate, in the form of a pre-randomization event count. Standard survival analysis may treat this pre-randomization count as a covariate, but the paper proposes a parametric joint model based on an underlying Poisson process, which will give a more precise estimate of the treatment effect. © 2006 Royal Statistical Society.
Persistent Identifierhttp://hdl.handle.net/10722/92539
ISSN
2015 Impact Factor: 1.354
2015 SCImago Journal Rankings: 1.092
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCowling, BJen_HK
dc.contributor.authorHutton, JLen_HK
dc.contributor.authorShaw, JEHen_HK
dc.date.accessioned2010-09-17T10:49:26Z-
dc.date.available2010-09-17T10:49:26Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal Of The Royal Statistical Society. Series C: Applied Statistics, 2006, v. 55 n. 1, p. 31-39en_HK
dc.identifier.issn0035-9254en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92539-
dc.description.abstractIn studies of recurrent events, such as epileptic seizures, there can be a large amount of information about a cohort over a period of time, but current methods for these data are often unable to utilize all of the available information. The paper considers data which include post-treatment survival times for individuals experiencing recurring events, as well as a measure of the base-line event rate, in the form of a pre-randomization event count. Standard survival analysis may treat this pre-randomization count as a covariate, but the paper proposes a parametric joint model based on an underlying Poisson process, which will give a more precise estimate of the treatment effect. © 2006 Royal Statistical Society.en_HK
dc.languageengen_HK
dc.publisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/RSSCen_HK
dc.relation.ispartofJournal of the Royal Statistical Society. Series C: Applied Statisticsen_HK
dc.subjectCensored point processen_HK
dc.subjectEpilepsyen_HK
dc.subjectEvent rateen_HK
dc.subjectRecurrent eventen_HK
dc.subjectSurvival analysisen_HK
dc.titleJoint modelling of event counts and survival timesen_HK
dc.typeArticleen_HK
dc.identifier.emailCowling, BJ:bcowling@hku.hken_HK
dc.identifier.authorityCowling, BJ=rp01326en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1467-9876.2005.00529.xen_HK
dc.identifier.scopuseid_2-s2.0-33645064524en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33645064524&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume55en_HK
dc.identifier.issue1en_HK
dc.identifier.spage31en_HK
dc.identifier.epage39en_HK
dc.identifier.eissn1467-9876-
dc.identifier.isiWOS:000235710800003-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridCowling, BJ=8644765500en_HK
dc.identifier.scopusauthoridHutton, JL=7202016050en_HK
dc.identifier.scopusauthoridShaw, JEH=7102179242en_HK
dc.identifier.citeulike440425-

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