Any misclassification is likely to be independent of birth weight and lead to an underestimation of the effect.
We believe this misclassification is likely to be nondifferential and therefore likely to underestimate the true associations.
[22] The resulting misclassification is likely to have weakened the estimated effects of factors that had differential associations with AIDS and non-AIDS mortality.
Some cases of type 1 diabetes (T1D) might have been inadvertently included; however, such misclassification is likely to have a minimal impact on effect sizes, given that T1D constitutes only 5 10% of all diabetes cases.
The misclassification is likely to be random, leading to underestimating the effects of diet on mortality.
The extent of this similarity is unknown, but substantial exposure misclassification is likely.
When differences in exposure between categories are small, exposure misclassification is likely to be relatively influential.
Such misclassification is likely to bias the estimate of health care costs associated with MAW.
Some misclassification is likely; some Roma mothers may have identified themselves as non-Roma.
However, this misclassification is likely to be similar for FQ-resistant and FQ-susceptible TB patients.
Since exposure misclassification is likely random, this should not have materially affected our findings.
