A bayesian random-effects markov model for tumor progression in women with a family history of breast cancer.

@article{Wu2008ABR,
  title={A bayesian random-effects markov model for tumor progression in women with a family history of breast cancer.},
  author={Grace Hui-Min Wu and Sungyong Chang and Tony Hsiu-Hsi Chen},
  journal={Biometrics},
  year={2008},
  volume={64 4},
  pages={1231-7}
}
SUMMARY It makes intuitive sense to model the natural history of breast cancer, tumor progression from preclinical screen-detectable phase (PCDP) to clinical disease, as a multistate process, but the multilevel structure of the available data, which generally comes from cluster (family)-based service screening programs, makes the required parameter estimation intractable because there is a correlation between screening rounds in the same individual, and between subjects within clusters… CONTINUE READING

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