Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation.

@article{Lee2017MultivariateBV,
  title={Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation.},
  author={Kyu Ha Lee and Mahlet G. Tadesse and Andrea A. Baccarelli and Joel Schwartz and Brent A. Coull},
  journal={Biometrics},
  year={2017},
  volume={73 1},
  pages={232-241}
}
The analysis of multiple outcomes is becoming increasingly common in modern biomedical studies. It is well-known that joint statistical models for multiple outcomes are more flexible and more powerful than fitting a separate model for each outcome; they yield more powerful tests of exposure or treatment effects by taking into account the dependence among… CONTINUE READING