A class of parametric dynamic survival models.

@article{Hemming2005ACO,
  title={A class of parametric dynamic survival models.},
  author={Karla Hemming and J. Ewart H. Shaw},
  journal={Lifetime data analysis},
  year={2005},
  volume={11 1},
  pages={81-98}
}
A class of parametric dynamic survival models are explored in which only limited parametric assumptions are made, whilst avoiding the assumption of proportional hazards. Both the log-baseline hazard and covariate effects are modelled by piecewise constant and correlated processes. The method of estimation is to use Markov chain Monte Carlo simulations: Gibbs sampling with a Metropolis-Hastings step. In addition to standard right censored data sets, extensions to accommodate interval censoring… CONTINUE READING

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