Probabilistic Multiple-Bias Modeling Applied to the Canadian Data From the Interphone Study of Mobile Phone Use and Risk of Glioma, Meningioma, Acoustic Neuroma, and Parotid Gland Tumors.

@article{Momoli2017ProbabilisticMM,
  title={Probabilistic Multiple-Bias Modeling Applied to the Canadian Data From the Interphone Study of Mobile Phone Use and Risk of Glioma, Meningioma, Acoustic Neuroma, and Parotid Gland Tumors.},
  author={Franco Momoli and Jack Siemiatycki and Mary L. McBride and M-{\'E} Parent and Lesley Richardson and Daniel B{\'e}dard and Richard Platt and Martine Vrijheid and Elisabeth Cardis and Daniel Krewski},
  journal={American journal of epidemiology},
  year={2017},
  volume={186 7},
  pages={
          885-893
        }
}
We undertook a re-analysis of the Canadian data from the 13-country case-control Interphone Study (2001-2004), in which researchers evaluated the associations of mobile phone use with the risks of brain, acoustic neuroma, and parotid gland tumors. In the main publication of the multinational Interphone Study, investigators concluded that biases and errors prevented a causal interpretation. We applied a probabilistic multiple-bias model to address possible biases simultaneously, using validation… CONTINUE READING
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