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This difference was significant in adjusted analyses, although it is not clear what variables were adjusted for.
Then, online controllable variables were adjusted during production according to the measurement of noise variables.
The effects of cervical stage, gender, skeletal classification, and initial length variables were adjusted in the multivariable regression models.
However, this difference became statistically non-significant once age, gender initial discrepancy index, and other cephalometric variables were adjusted in the regression models.
These variables were adjusted to maximise the F 2 score calculated for a small window around an object of interest in an image.
Prior to further analysis, TNFα expression variables were adjusted for demographic differences between study cohorts [15].
For each call, pitch floor and ceiling variables were adjusted to surround the observed fundamental frequency, replacing standard settings.
In the multivariable models, the variables were adjusted for parental socio-economic position at age 7 years and for change in BMI from age 7 to 16 years.
To determinate the independent effects of the intervention on blood pressures, lipids, or HbA1c, these variables were adjusted for "medication load".
The variables were adjusted for age.
c Contextual variables were adjusted for socioeconomic and demographic variables.
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