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Non-PH parametric survival modelling

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dc.contributor.author MacKenzie, Gilbert
dc.contributor.author Al-tawarah, Yasin
dc.contributor.author Blagojevic, Milisa
dc.contributor.author Burke, Kevin
dc.date.accessioned 2018-07-26T14:49:44Z
dc.date.available 2018-07-26T14:49:44Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/10344/6995
dc.description peer-reviewed en_US
dc.description.abstract Non-PH parametric survival modelling is developed within the frame- work of the multiple logistic function. The family considered comprises three basic models: (a) a PH model, (b) an accelerated life model and (c) a model which is non-proportional hazards and non-accelerated life. The family is generalised by means of a Gamma frailty extension which is shown to accommodate crossing haz- ards data. These extensions lead naturally to the concept of a Multi-Parameter Regression model described by Burke and MacKenzie (2016). The new models are used to analyse two sets of survival data and the advantages of the methods are discussed. en_US
dc.language.iso eng en_US
dc.publisher IWSM en_US
dc.relation.ispartofseries Proceedings of the 33rd International workshop on Statistical Modelling;vol, 1, pp. 199-203
dc.relation.uri http://www.statmod.org/index.html
dc.subject accelerated life en_US
dc.subject frailty en_US
dc.subject MPR model en_US
dc.subject non-PH model en_US
dc.subject PH model en_US
dc.title Non-PH parametric survival modelling 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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