A Bayesian mixture modeling approach for assessing the effects of correlated exposures in case-control studies

@article{Vocht2012ABM,
  title={A Bayesian mixture modeling approach for assessing the effects of correlated exposures in case-control studies},
  author={Frank de Vocht and Nicola Cherry and Jonathan Wakefield},
  journal={Journal of Exposure Science and Environmental Epidemiology},
  year={2012},
  volume={22},
  pages={352-360}
}
Predisposition to a disease is usually caused by cumulative effects of a multitude of exposures and lifestyle factors in combination with individual susceptibility. Failure to include all relevant variables may result in biased risk estimates and decreased power, whereas inclusion of all variables may lead to computational difficulties, especially when variables are correlated. We describe a Bayesian Mixture Model (BMM) incorporating a variable-selection prior and compared its performance with… CONTINUE READING