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Household contact misclassification decreased with age for individuals over 30, with greater misclassification for males than females.
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Similarly, because misclassification decreases with income (Table 4), the income gradient is significantly larger (p < 0.10 in model II and p < 0.05 in model III) for the waist circumference definition.> -wrap-foot> Linear probability models.
This shows that the effect of misclassification decreases with increased true prevalence, so for example, a true prevalence of 8% for multiple physical symptoms would mean that the true relative risk was nearly double that observed, while a true prevalence of 16% would only increase it by 20%.
From these results, we can see that the number of detected anomalies increases with K and the number of misclassifications decrease with K.
The precision of the effect estimates decreased with decreasing size of the misclassification data set.
Its optimal value decreased with increasing Nbc1.
Fecundity and catalase expression decreased with age.
You've just decreased with SSK.
In the misclassification part we find that the probability of being misclassified decreases with income, for both men and women.
Fear decreases with familiarity, but wonder increases.
Temperatures almost always decrease with elevation gain.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com