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dc.contributor.authorTawiah, Richard
dc.contributor.authorYau, Kelvin KW
dc.contributor.authorMcLachlan, Geoffrey J
dc.contributor.authorChambers, Suzanne K
dc.contributor.authorNg, Shu-Kay
dc.date.accessioned2019-06-09T01:34:39Z
dc.date.available2019-06-09T01:34:39Z
dc.date.issued2019
dc.identifier.issn0277-6715
dc.identifier.doi10.1002/sim.8041
dc.identifier.urihttp://hdl.handle.net/10072/383576
dc.description.abstractWe present a multilevel frailty model for handling serial dependence and simultaneous heterogeneity in survival data with a multilevel structure attributed to clustering of subjects and the presence of multiple failure outcomes. One commonly observes such data, for example, in multi‐institutional, randomized placebo‐controlled trials in which patients suffer repeated episodes (eg, recurrent migraines) of the disease outcome being measured. The model extends the proportional hazards model by incorporating a random covariate and unobservable random institution effect to respectively account for treatment‐by‐institution interaction and institutional variation in the baseline risk. Moreover, a random effect term with correlation structure driven by a first‐order autoregressive process is attached to the model to facilitate estimation of between patient heterogeneity and serial dependence. By means of the generalized linear mixed model methodology, the random effects distribution is assumed normal and the residual maximum likelihood and the maximum likelihood methods are extended for estimation of model parameters. Simulation studies are carried out to evaluate the performance of the residual maximum likelihood and the maximum likelihood estimators and to assess the impact of misspecifying random effects distribution on the proposed inference. We demonstrate the practical feasibility of the modeling methodology by analyzing real data from a double‐blind randomized multi‐institutional clinical trial, designed to examine the effect of rhDNase on the occurrence of respiratory exacerbations among patients with cystic fibrosis.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherWILEY
dc.relation.ispartofpagefrom1036
dc.relation.ispartofpageto1055
dc.relation.ispartofissue6
dc.relation.ispartofjournalSTATISTICS IN MEDICINE
dc.relation.ispartofvolume38
dc.subject.fieldofresearchStatistics
dc.subject.fieldofresearchcode4905
dc.titleMultilevel model with random effects for clustered survival data with multiple failure outcomes
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorNg, Shu Kay Angus
gro.griffith.authorChambers, Suzanne K.
gro.griffith.authorTawiah, Richard


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