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However, partial correlation tests the correlation between two variables after the linear effects from the rest of the data are removed, hence no relationship exists between b and c after the effect from a is removed.
Results of partial correlation tests for SAT, VAT, WC and BMI are shown in Table 3.
The correlations between BMI and cognitive function measures were performed using partial correlation tests controlling for both age and gender.
Partial correlation tests (controlling for age and gender) were used to examine the correlations between CR attendance and last year physical activity with continuous outcome variables.
Because the negative correlation observed between molecular rate and body size could be an indirect result of a relationship involving the net diversification rate, we performed partial correlation tests which did not indicate any evidence for any relationship involving molecular rate, body size and net diversification rate together.
Moreover, consistent with the study by Orme et al. [ 43] our data indicate no evidence for a relationship between body size and net diversification rate (p-value~1, results not shown); the inclusion of the corresponding non-significant correlation coefficient in the partial correlation tests makes the interpretation of the results of such tests difficult.
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We evaluated the correlation between NAA/Cr and PCr/β-ATP or PCr/total 31P by partial correlation testing, controlling for age and sex, by using the statistical package for Social Sciences SPSSS 12.0 for Windows, Chicago, IL).
Age-adjusted partial correlation test (Model 2) also was performed.
Age-adjusted partial correlation test found a significant correlation between baPWV and CRP (r=0.462, p<0.001).
Correlations were analyzed using the partial correlation test with age and gender as control variables.
Correlations between the investigated variables were examined using the Pearson correlation test or partial correlation test (controlling for age).
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