Sentence examples for misclassification will have from inspiring English sources

However, it is unlikely that misclassification will have been related to the OC use of cases.

If these rates apply, and there are considerable uncertainties [ 39, 44], misclassification will have a marked effect on the estimated lung cancer death rates in never smokers.

This would have resulted in some misclassification of PM patients as EM, but this misclassification will have been very small as CYP2D6*3 is found in 1 to 4% of the Caucasian population [ 50].

The impact of misclassification will have been minimized, however, as patients with unreported poor adherence are likely to have been classified under treatment failure, for which the definition relied on CD4+ cell count and viral load measurements only.

It is likely that exposure misclassification will have occurred, but without a gold standard we can neither define the specificity of the method nor state whether we under- or overestimated the true exposures.

Such misclassification however will have no effect on our findings and conclusions of the current study.

Indeed, for certain exposure measures, misclassification in the group estimate will have less of an influence on the resultant risk estimates than will misclassification in the individual estimate (Armstrong 2004).

27 We included information from death certificates to identify additional patients with the outcomes, which will have reduced misclassification.

We included information from linked death certificates to identify additional cases of suicide, including those recorded as open verdicts, which will have reduced misclassification for this outcome; however, we might still have underestimated suicide rates since some suicides may have been recorded as unintentional incidents.

This inevitably will have introduced exposure misclassification bias limiting our ability to detect associations that might be present.

Because BMI is related to risk of pregnancy disorders, it was important to assess its impact, and although there will have been some misclassification, women who are overweight early are more likely to be overweight later.