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Predictors of diuretic therapy were tested in uni- and multivariate linear regression analyses with dose adjustments (reduced (−1), unchanged (0) or increased (+1) intensity) used as dependent variables and the different predictors of clinical interest to test were included as covariates.
None of the associations were statistically significant and, more importantly, the residual heterogeneity statistics (ie variation remaining after adjustment) was virtually unchanged, indicating the between-trial variation was not well explained by any of the three characteristics explored.
PAF was interpreted as the proportional reduction in the average population mortality risk that would occur if low PA levels were eliminated from the population, assuming that the distribution of the adjustment variables remained unchanged.
All associations between anthropometric measures and JSN among women decreased substantially in magnitude and became statistically nonsignificant after adjustment for leptin, but remained largely unchanged after adjustment for IL-6 (Table 3).
Also, following the RTA formation, Figure 4 illustrates the case where the corresponding pre-adjustments and post-adjustments equilibrium prices remain unchanged.
Generally, the risk estimates remained virtually unchanged after adjustments for potential confounding factors, including genetic factors.
Fuzzy rules are then used to determine the power adjustments as (1) remain unchanged, (2) slightly increase, (3) moderately increase, (4) highly increase, and (5) fully increase.
The concepts and methodology in these cases will be unchanged, but adjustments are likely to be necessary with regard to the numerical properties of the model and possibly the topology of the underlying biochemical network.
The correlation coefficients were essentially unchanged after adjustments for age (data not shown).
Relative-risk estimates remained virtually unchanged after adjustments for BMI and education.
These results remained unchanged when adjustments were made for age, age of menopause, duration since menopause, BMI, and number of children (data not shown).
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CEO of Professional Science Editing for Scientists @ prosciediting.com