Mixture models for cancer survival analysis: application to population-based data with covariates.

@article{Angelis1999MixtureMF,
  title={Mixture models for cancer survival analysis: application to population-based data with covariates.},
  author={Roberta de Angelis and Riccardo Capocaccia and Timo Hakulinen and B Soderman and Arduino Verdecchia},
  journal={Statistics in medicine},
  year={1999},
  volume={18 4},
  pages={441-54}
}
The interest in estimating the probability of cure has been increasing in cancer survival analysis as the curability of many cancer diseases is becoming a reality. Mixture survival models provide a way of modelling time to death when cure is possible, simultaneously estimating death hazard of fatal cases and the proportion of cured case. In this paper we propose an application of a parametric mixture model to relative survival rates of colon cancer patients from the Finnish population-based… CONTINUE READING

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