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In all four algorithms, the estimated slopes are close to "1", and except for the underweight algorithm, the estimated intercepts are large than "0"; this indicates that, in general, the predicted WHO estimates are higher than the respective NCHS estimates for stunting, wasting and overweight, but that the reverse applies for underweight.
There was undoubtedly more discontent among the group who'd been looking at the underweight models.
Due to low numbers in the "underweight" category of BMI (n = 3), the mobility category "confined to bed" (n = 6), and the extremely anxious or depressed category (n = 26), these categories were collapsed with the closest alternative.
In the underweight group (<5th percentile), 57.9 % of boys believed that they were very underweight, whereas 26.7 % of girls considered themselves to be very underweight.
There were 242 women (0.9%) in the underweight category.
In women, mean age was highest in the underweight category.
The ratio indicates the percentage underweight relative to the mean.
He rated the stock "underweight," relative to the beverages sector.
Our advice remains the same - be underweight the UK domestic banks sector".
The same can be said of the proportion of underweight children in the two samples.
Half of the malnourished and underweight children in the world live in India.
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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