A generalized F mixture model for cure rate estimation.

@article{Peng1998AGF,
  title={A generalized F mixture model for cure rate estimation.},
  author={Yingwei Peng and Keith B G Dear and James Denham},
  journal={Statistics in medicine},
  year={1998},
  volume={17 8},
  pages={813-30}
}
Cure rate estimation is an important issue in clinical trials for diseases such as lymphoma and breast cancer and mixture models are the main statistical methods. In the last decade, mixture models under different distributions, such as exponential, Weibull, log-normal and Gompertz, have been discussed and used. However, these models involve stronger distributional assumptions than is desirable and inferences may not be robust to departures from these assumptions. In this paper, a mixture model… CONTINUE READING

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