File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Two simulation methods for constructing confidence bands under the additive risk model

TitleTwo simulation methods for constructing confidence bands under the additive risk model
Authors
KeywordsConfidence band
Estimating equation
Failure time data
Proportional hazards
Issue Date2004
PublisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/10543406.asp
Citation
Journal Of Biopharmaceutical Statistics, 2004, v. 14 n. 2, p. 389-402 How to Cite?
AbstractWith right-censored failure time data, we propose procedures to construct simultaneous confidence bands for the survival curve of a given subject under the additive risk model. The distribution of the subject-specific cumulative hazard function can be approximated with a zero-mean Gaussian process, which can be generated through simulation methods. We propose two different simulation schemes to obtain the distribution of the supremum of the cumulative hazard process over the entire time range. The two simulation approaches are asymptotically equivalent, whereas the numerical forms are different. We construct two types of confidence bands, namely the equal precision band and the Hall-Wellner type band, through choosing suitable weight functions. Monte Carlo simulation studies show that both of the proposed confidence bands are appropriate for finite sample sizes. We illustrate the new proposal with a real example.
Persistent Identifierhttp://hdl.handle.net/10722/146570
ISSN
2015 Impact Factor: 0.882
2015 SCImago Journal Rankings: 0.850
References

 

DC FieldValueLanguage
dc.contributor.authorYin, Gen_HK
dc.contributor.authorHu, Jen_HK
dc.date.accessioned2012-05-02T08:37:05Z-
dc.date.available2012-05-02T08:37:05Z-
dc.date.issued2004en_HK
dc.identifier.citationJournal Of Biopharmaceutical Statistics, 2004, v. 14 n. 2, p. 389-402en_HK
dc.identifier.issn1054-3406en_HK
dc.identifier.urihttp://hdl.handle.net/10722/146570-
dc.description.abstractWith right-censored failure time data, we propose procedures to construct simultaneous confidence bands for the survival curve of a given subject under the additive risk model. The distribution of the subject-specific cumulative hazard function can be approximated with a zero-mean Gaussian process, which can be generated through simulation methods. We propose two different simulation schemes to obtain the distribution of the supremum of the cumulative hazard process over the entire time range. The two simulation approaches are asymptotically equivalent, whereas the numerical forms are different. We construct two types of confidence bands, namely the equal precision band and the Hall-Wellner type band, through choosing suitable weight functions. Monte Carlo simulation studies show that both of the proposed confidence bands are appropriate for finite sample sizes. We illustrate the new proposal with a real example.en_HK
dc.languageengen_US
dc.publisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/10543406.aspen_HK
dc.relation.ispartofJournal of Biopharmaceutical Statisticsen_HK
dc.subjectConfidence banden_HK
dc.subjectEstimating equationen_HK
dc.subjectFailure time dataen_HK
dc.subjectProportional hazardsen_HK
dc.subject.meshComputer Simulation - Statistics & Numerical Dataen_US
dc.subject.meshMonte Carlo Methoden_US
dc.subject.meshProportional Hazards Modelsen_US
dc.titleTwo simulation methods for constructing confidence bands under the additive risk modelen_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.doi10.1081/BIP-120037188en_HK
dc.identifier.pmid15206535-
dc.identifier.scopuseid_2-s2.0-2642548068en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-2642548068&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume14en_HK
dc.identifier.issue2en_HK
dc.identifier.spage389en_HK
dc.identifier.epage402en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK
dc.identifier.scopusauthoridHu, J=7406418151en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats