Show simple item record

dc.contributor.authorNg, SK
dc.contributor.authorMcLachlan, GJ
dc.contributor.authorYau, KKW
dc.contributor.authorLee, AH
dc.date.accessioned2017-05-03T15:18:12Z
dc.date.available2017-05-03T15:18:12Z
dc.date.issued2004
dc.date.modified2010-08-16T06:47:38Z
dc.identifier.issn0277-6715
dc.identifier.doi10.1002/sim.1840
dc.identifier.urihttp://hdl.handle.net/10072/33470
dc.description.abstractA two-component survival mixture model is proposed to analyse a set of ischaemic stroke-specific mortality data. The survival experience of stroke patients after index stroke may be described by a subpopulation of patients in the acute condition and another subpopulation of patients in the chronic phase. To adjust for the inherent correlation of observations due to random hospital effects, a mixture model of two survival functions with random effects is formulated. Assuming a Weibull hazard in both components, an EM algorithm is developed for the estimation of fixed effect parameters and variance components. A simulation study is conducted to assess the performance of the two-component survival mixture model estimators. Simulation results confirm the applicability of the proposed model in a small sample setting.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJohn Wiley & Sons
dc.publisher.placeUK
dc.relation.ispartofpagefrom2729
dc.relation.ispartofpageto2744
dc.relation.ispartofissue17
dc.relation.ispartofjournalStatistics in Medicine
dc.relation.ispartofvolume23
dc.subject.fieldofresearchStatistics
dc.subject.fieldofresearchStatistics not elsewhere classified
dc.subject.fieldofresearchcode4905
dc.subject.fieldofresearchcode490599
dc.titleModelling the distribution of ischaemic stroke-specific survival time using an EM-based mixture approach with random effects adjustment
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2004
gro.hasfulltextNo Full Text
gro.griffith.authorNg, Shu Kay Angus


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record