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Non-PH parametric survival modelling

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conference contribution
posted on 2022-11-12, 14:33 authored by Gilbert MackenzieGilbert Mackenzie, Yasin Al-tawarah, Milisa Blagojevic, Kevin BurkeKevin Burke
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.

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Publication

Proceedings of the 33rd International workshop on Statistical Modelling;vol, 1, pp. 199-203

Publisher

IWSM

Note

peer-reviewed

Language

English

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  • BIO-SI - Bio-Statistics & Informatics Project

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  • Mathematics & Statistics

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