Nevertheless, our estimates were restricted to laboratory-confirmed influenza seasons and we consider that any residual misclassification would be similar in the two study populations.
Moreover, it is unlikely that moving patterns were jointly correlated with CIMT progression and air pollution at the address used in our exposure assignment, thus, biases from this exposure misclassification would be expected to go toward null.
Misclassification would be non-differential and would tend to attenuate the true association.
However, this misclassification would be nondifferential and unrelated to either the disease or arsenic exposure.
However, this exposure misclassification would be nondifferential with respect to case/control status.
Typically, nondifferential misclassification would be expected to bias associations toward the null (Rothman et al. 2008).
However, the impact of nondifferential misclassification would be to attenuate the association between activity and mortality.
However, we believe any misclassification would be nondifferential although the direction of bias is uncertain.
Any misclassification would be minor and, if present, would tend to underestimate our associations.
Any exposure misclassification would be random and would be unlikely to differ based on disease status.
However, such misclassification would be nondifferential if sample volume was unrelated to periodontal disease.
