Statistical models for predicting number of involved nodes in breast cancer patients.

@article{Dwivedi2010StatisticalMF,
  title={Statistical models for predicting number of involved nodes in breast cancer patients.},
  author={A. K. Dwivedi and Sada Nand Dwivedi and Suryanarayana V. S. Deo and Rakesh Shukla and Elizabeth J. Kopras},
  journal={Health},
  year={2010},
  volume={2 7},
  pages={641-651}
}
Clinicians need to predict the number of involved nodes in breast cancer patients in order to ascertain severity, prognosis, and design subsequent treatment. The distribution of involved nodes often displays over-dispersion-a larger variability than expected. Until now, the negative binomial model has been used to describe this distribution assuming that over-dispersion is only due to unobserved heterogeneity. The distribution of involved nodes contains a large proportion of excess zeros… CONTINUE READING
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