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A regression model was applied to realize the dominant factors on the responses, from this model, the molecular weight was excluded to successfully obtain the final objective with lesser number of experimental runs.
If the impact of weight was excluded, the gap between the three stresses would decrease.
An outlier (a 43-year-old male with a PCB level of 868 mg/kg lipid weight) was excluded.
One girl with excess weight was excluded because of 15 missing values in her self-assessment at the follow-up phase.
(2) Birth weight: Full-term low birth weight was excluded from the China growth charts, but not the WHO growth charts, which could truncate the lower end of weight distribution.
As a result of the absense of gestational age at delivery in the delivery register in some of the hospitals gestational age, which is noted as a confounder of birth weight was excluded in the analysis.
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During this period, the body weight was monitored and rats losing body weight were excluded from the experiment.
For analyses with weight maintenance, individuals reporting intent to lose weight were excluded so that individuals trying to lose weight were not included in the unexposed group (n=14 528).
Immigrants and children without data on gestational age and birth weight were excluded, and a total of 1.348.106 children were included in the analysis.
All the other possible etiologies such as viral hepatitis, storage diseases including Wilson disease, hemochromatosis and alpha-1 antitrypsin deficiency, autoimmune hepatitis, celiac disease, drug-induced liver disease and rapid loss of weight were excluded.
Trials in which subjects lost or gained significant amounts of weight were excluded [22], [23] as this has an effect on blood lipoproteins independent of dietary composition [24], [25].
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