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Non-PH parametric survival modelling

Date
2018
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.
Supervisor
Description
peer-reviewed
Publisher
IWSM
Citation
Proceedings of the 33rd International workshop on Statistical Modelling;vol, 1, pp. 199-203
Collections
Mathematics & Statistics
BIO-SI - Bio-Statistics & Informatics Project
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MacKenzie_2018_Parametric.pdf
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Keywords
accelerated life, frailty, MPR model, non-PH model, PH model
ULRR Identifiers
https://researchrepository.ul.ie/handle/10344/6995
 https://doi.org/10.34961/4253
Funding code
Funding Information
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
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