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