Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.

@article{Rockhill2001ValidationOT,
  title={Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.},
  author={Beverly Rockhill and Donna Spiegelman and Celia Byrne and David J. Hunter and Graham A. Colditz},
  journal={Journal of the National Cancer Institute},
  year={2001},
  volume={93 5},
  pages={358-66}
}
BACKGROUND Women and their clinicians are increasingly encouraged to use risk estimates derived from statistical models, primarily that of Gail et al., to aid decision making regarding potential prevention options for breast cancer, including chemoprevention with tamoxifen. METHODS We evaluated both the goodness of fit of the Gail et al. model 2 that predicts the risk of developing invasive breast cancer specifically and its discriminatory accuracy at the individual level in the Nurses… CONTINUE READING
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