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Finally, most exposure variables are prone to measurement errors.
For most exposure variables, we found evidence for interaction between C3c at baseline and risk for type 2 diabetes.
In terms of heterogeneity, a high level of agreement between studies was found – with I values of 0%% observed for most exposure variables (Fig. 2b- d).
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The objective of this study is to select the most relevant exposure variables for the prediction of pleural plaques and asbestosis in order to guide clinicians in their use of CT-Scan.
An appropriate functional form for continuous variables (age and longest admission in the preceding two years) was defined using the method of fractional polynomials [ 49, 50], using a dataset with complete data for most important exposure variables (demographics, diagnosis, legal status and housing variables).
Most important exposure variable(s) were associated with injury mortality.
ECC is theoretically the most appropriate exposure variable when comparing different dosing frequencies (q.d. vs. b.i.d).
This study also shows a difference between the m-TMD and j-TMD groups, where the j-TMD group did not display strong associations between most outcome and exposure variables.
Most continuous environmental exposure variables had a long-tailed distribution and we log-transformed and applied a z-transformation to them (mean centered and divided by the SD).
No other symptom was observed for more than one patient; moreover, most of the exposure variables are zero for these patients.
We did not have access to repeated exposure measures and to information on calcium supplement use, and most non-dietary exposure variables were self-reported for which we do not know the validity, except for menopausal status and use of HRT [ 39].
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