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We propose four situations in which misclassification might be plausible.

By doing so, nondifferential misclassification might be minimized and risk factors with weaker associations might be more easily identified.

However, the misclassification might be non-differential and tend to result in underestimating the effect of risk factors.

Exposure misclassification might be reduced to some degree by developing spatial prediction models to estimate exposures to temperature and ozone at participants' locations.

The main rationale for focusing on night-time exposure was that because the child is more permanently at the place where the measurement was taken, dilution of the association by exposure misclassification might be reduced [ 6].

At a given point in time, a large proportion of the most recent BMIs are unlikely to reflect current BMI; consequent BMI misclassification might be reduced by employing model-based imputation of current BMI.

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Similar(49)

The threshold of clinically acceptable misclassifications might be larger in this context compared to, e.g., screening of orphan diseases, because it critically depends on two factors.

However, because the MPR was calculated as 100% for many patients, these misclassifications might be negligible.

However, these misclassifications might be non-differential owing to the prospective study design.

Interestingly, the associations with AL were slightly more pronounced for that age group, in which misclassifications might be weaker, than for the older age groups.

Regarding the issue of misclassification, it might be argued that there was a risk for dependent misclassification since the groups with strict moral rules (i.e. those in which religion played a major role) might systematically have underestimated risky sexual behavior due to a 'social desirability' factor.

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