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Date
2007
Abstract
The non-PH Canonical Time Dependent Logistic (CTDL) survival re- gression model is extended by incorporating a positive stable frailty component into the hazard function within the Bayesian framework. The resulting model is compared numerically with the Weibull-positive stable frailty model, using data from a placebo controlled randomized trial of gamma interferon in chronic gran- ulotomous disease (CGD). Moreover, supremum bounds of the ratio-of-uniforms (ROU) algorithm, used for sampling from complete conditional distributions, are obtained analytically thus yielding a more efficient form of the algorithm.
Supervisor
Description
peer-reviewed
Publisher
IWSM
Citation
Proceedings of the 22nd International Workshop on Statistical Modelling;
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Files
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MacKenzie_2007_CTDL.pdf
Adobe PDF, 125.77 KB