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Non-PH multivariate survival models based on the GTDL

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Show simple item record MacKenzie, Gilbert Do Ha, II Lee, Youngjo 2013-01-04T15:09:29Z 2013-01-04T15:09:29Z 2003
dc.description peer-reviewed en_US
dc.description.abstract Correlated survival times may be modelled by introducing a random effect, or frailty, component into the hazard function. For multivariate survival data we extend a non-PH model, the generalized time-dependent logistic (GTDL) survival model (MacKenzie, 1996, 1997), to include random effects. The extension leads to two different, but related, non-PH models according to the method of incorporating the random effects. The h-likelihood procedures of Ha, Lee and Song (2001) and Ha and Lee (2003), which obviate the need for marginalization (over the random effect distribution), are derived for these extended models and their properties discussed. The new models are used to analyze two practical examples in the survival literature and the results are compared with those obtained from fitting the PH and PH frailty models. en_US
dc.language.iso eng en_US
dc.publisher IWSM en_US
dc.relation.ispartofseries Proceedings of the 18th International Workshop on Statistical Modelling;
dc.subject frailty models en_US
dc.subject generalized time-dependent logistic en_US
dc.subject non-PH model en_US
dc.subject random effect en_US
dc.title Non-PH multivariate survival models based on the GTDL en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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