A general framework for parametric survival analysis.

@article{Crowther2014AGF,
  title={A general framework for parametric survival analysis.},
  author={Michael J Crowther and Paul C. Lambert},
  journal={Statistics in medicine},
  year={2014},
  volume={33 30},
  pages={5280-97}
}
Parametric survival models are being increasingly used as an alternative to the Cox model in biomedical research. Through direct modelling of the baseline hazard function, we can gain greater understanding of the risk profile of patients over time, obtaining absolute measures of risk. Commonly used parametric survival models, such as the Weibull, make restrictive assumptions of the baseline hazard function, such as monotonicity, which is often violated in clinical datasets. In this article, we… CONTINUE READING
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Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

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