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Browsing Mathematics & Statistics by Author "Burke, Kevin"

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Browsing Mathematics & Statistics by Author "Burke, Kevin"

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  • Burke, Kevin; MacKenzie, Gilbert (IWSM, 2013)
    The proportional hazards (PH) assumption in survival analysis may not always be appropriate. If data do not obey the assumption then we will reach incorrect conclusions by making it. For example we may find a covariate to ...
  • Burke, Kevin; MacKenzie, Gilbert (IWSM, 2012)
    It is well known that the proportional hazards (PH) assumption is a simplifying assumption in survival analysis that may not always be appropriate. However, PH models are routinely fitted and inference is made on the ...
  • Burke, Kevin (University of Limerick, 2014)
    In general, parametric regression models can be motivated by allowing the parameters of a probability distribution to depend on covariates. Furthermore, it is standard practice to relate covariates to one parameter of ...
  • MacKenzie, Gilbert; Al-tawarah, Yasin; Blagojevic, Milisa; Burke, Kevin (IWSM, 2018)
    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 ...
  • Burke, Kevin; MacKenzie, Gilbert (IWSM, 2011)
    We aim to explore the survival distributions based on the extreme dispersion, XD, models proposed by Jørgensen (2010). It is suggested that survival times can be modelled within the XD framework by taking log T = Y ~ ...
  • Peng, Defen; Burke, Kevin; MacKenzie, Gilbert (IWSM, 2018)
    The Weibull multi-parameter regression (MPR) model with frailty is developed for interval censored survival data. The basic MPR model which is wholly parametric with non-proportional hazards was developed by Burke ...

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