Bayesian multivariate hierarchical transformation models for ROC analysis.

@article{OMalley2006BayesianMH,
  title={Bayesian multivariate hierarchical transformation models for ROC analysis.},
  author={A. James O'Malley and Kelly H. Zou},
  journal={Statistics in medicine},
  year={2006},
  volume={25 3},
  pages={459-79}
}
A Bayesian multivariate hierarchical transformation model (BMHTM) is developed for receiver operating characteristic (ROC) curve analysis based on clustered continuous diagnostic outcome data with covariates. Two special features of this model are that it incorporates non-linear monotone transformations of the outcomes and that multiple correlated outcomes may be analysed. The mean, variance, and transformation components are all modelled parametrically, enabling a wide range of inferences. The… CONTINUE READING

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