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
American Journal of Epidemiology Sep 05, 2017
Momoli F, et al. – This research ascertained if the mobile phone usage resulted in the development of glioma, meningioma, acoustic neuroma, and parotid gland tumors. It was deduced that little evidence existed of an increase in the risk of such tumors in association with mobile phone use. The data interpretation was not affected after adjustments for selection and recall biases.
Methods
- The biases and errors appeared to prevent a causal interpretation, in the main publication of the multinational Interphone Study.
- The probabilistic multiple-bias model targeted the possible biases simultaneously, through validation data from billing records and nonparticipant questionnaires as information on recall error and selective participation.
- These sources of uncertainty were adjusted and interpretation was enabled.
Results
- A comparison of those in the highest quartile of use (>558 lifetime hours) to those who were not regular users reported odds ratio of 2.0 (95% confidence interval: 1.2, 3.4), for glioma.
- After adjustment for selection and recall biases, the odds ratio was 2.2 (95% limits: 1.3, 4.1).
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