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The authors concluded that outcome-dependent misclassification, was not a major threat to validity.
Anyway it's plausible that misclassification was not differential being only a dilution of risk possible.
The same level of misclassification was not observed for wine and beer.
For all sensitivity analyses we further assumed that the OR estimate adjusted for exposure misclassification was not affected by other systematic errors.
In fact, the geographical analysis showed that HFH misclassification was not randomly distributed over Italy, but it was markedly "excessive" in the Campania region.
Because the same variable maternal education was used to apply weighted outcome misclassification corrections, and serves as the most important confounder, simultaneous consideration of confounding and outcome misclassification was not possible, and is a limitation of this approach.
Similar(52)
Furthermore, the uncertainty associated with a misclassification is not binary, but rather a more complex measure that accounts for the degree of divergence between the point observation and map unit that takes into account these underlying relationships between soils, landscape and function.
Building predictive models with high accuracy and low misclassification is not trivial.
As long as such misclassification is not differential according to case status, then the effect is likely to be minimal.
However, misclassification is not likely a problem as the repeat samples were highly concordant.
Results from other studies [ 41, 42] have suggested that differential misclassification is not enough to bias the results substantially.
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CEO of Professional Science Editing for Scientists @ prosciediting.com