Sentence examples for error in weight from inspiring English sources

Of these, one child was excluded due to an error in weight measurements and two children were excluded due to a CV for the AGD measurements > 10%, resulting in a study population of 196 children.

Note that models for indices will inevitably have relatively large RSDs because the outcome includes two sources of measurement error (e.g., BMI includes measurement error in weight and height).

To correct error in weight measurement due to variable tissue water content, concentrations were normalised by total water-soluble protein concentration, which was measured by the Bradford assay (colorimetric response of Coomassie Blue G dye).

Assuming birth weight was perfectly measured, there are three potential explanations for the marked differences in point and interval estimates: (1) there was sampling variation, (2) there was measurement error in weight gain measurements which attenuated the relation, or (3) the two samples came from two dissimilar populations.

For example, if the maximum permissible error in weighting a patient is 1%, the tolerance for a 100 kg man will be 100 ± 1 kg.

Third, there are possible measurement errors in weight and height; we limited this by using a standard measurement protocol for all centres, following the WHO recommendations [ 14].

These larger limits of agreement suggest that the errors in weight, height and BMI are higher when parents are estimating their child's weight and height values than when they measure them at home.

Therefore, using a large database of observations, we documented (A) errors in the assignment of weights to vital sign values, (B) errors in weight aggregation (summing the individual weights for each vital sign), (C) the effect of time of day on the occurrence of errors, and (D) how errors affected the clinical response that should have occurred.

The mean dose used per anaesthetized wild boar was 2.9 ± 0.39 mg/kg of TZ and 0.048 ± 0.006 mg/kg of M. This was an 11% deviation from the target dose, due to errors in weight estimation.

The back-propagation algorithm (BP) [30] is used to compute the weights and biases of the ANN by minimizing the error function in weight space using gradient descent.

It may be that this approach can also improve error rates in weight assignment and aggregation.