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Exact(9)
Such misclassification would lead to our observed risks underestimating true risks.
If these factors were highly prevalent in our populations, misclassification would lead to an overestimate of the prevalence of missed opportunities, and the prevalence of appropriate SP use would be underestimated.
Therefore, such misclassification would lead to underestimation of the effect estimates.
This misclassification would lead to attenuation of the true association towards the null.
In general, non-differential misclassification would lead to a bias toward the null value [ 11].
Such misclassification would lead to an underestimation of the association between polycystic ovary syndrome and adverse pregnancy outcomes.
Similar(51)
Therefore, such misclassifications would lead to an underestimation of the associations.
It should, however, be noted that correction for selection and misclassification bias would lead to higher meta-analytical odds ratios.
If some kind of misclassification occurs, it would lead to a shift towards the right in both distributions and a slight overestimation of the optimal cut-off point as a result.
This would lead to misclassification bias, leading us to have underestimated the size of any associations found.
This potential misclassification would, however, lead to an underestimation of hip dislocations and operations in the regular care areas.
More suggestions(12)
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com