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Adjustment of main results for confounders was also noted.
The optimization of an HRM experiment required careful design and adjustment of main parameters, such as primer concentration, MgCl2 concentration, probe design and template DNA concentration.
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Additional adjustment of the main models for proximity to traffic or road traffic noise did not influence associations (data not shown).
However, it is also important to acknowledge that adjustment of our main results for BMI did not completely attenuate the observed associations, suggesting that measures of BMI alone may not completely explain the risk.
However, after further adjustment of the main model for hospital or county, the increased risk of LBW associated with O3 is no longer significant, whereas the odds ratio for the proximity of the nearest major road is significant at the 5% level [see Additional file 3].
The model included adjustment for main effects of pre-existing morbidity.
In logistic regression analysis, anti-HSP27 was not associated with the presence of complications, even after adjustment for main risk factors.
This will need constant small adjustments of the main sheet (to control mainly the speed of the boat) and the tiller (to control the direction).
Concerning the number of these correct adjustments, a main effect of valence was observed (F 1,15) = 70.39, p < 0.001, η p 2 = 0.82), indicating more correct adjustments after negative than after positive feedback.
We have used Odds Ratio for estimation the association of risk factors with osteoporosis, Multinominal logistic regression was the main method for adjustment of confounds variables.
The interpretation of the geographic pattern is affected by including spatial-only covariates in the model, because it becomes the spatial pattern of risk after adjustment for the main spatial effects of covariate.
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