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Phenotypic and genetic correlations were similar in direction and magnitude: RCT was moderately and positively correlated with SCS (0.147 to 0.182) and strongly and negatively correlated with a30 (-0.851 to -0.58), while correlation with CAS was null (-0.125 to -0.021).
As can be seen in Table 3, for convergent validity, correlation with the PCS, PF and BP subscales of the SF-36 were similar to the original version, while correlation with the RP (r = 0.68) and SF (r = 0.60) subscales of the SF-36 were higher in our study, compared to the original scale (r = 0.47 for both).
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When the outlier countries were included positive bivariate correlations between the Gini index and the direct effect of Parental Education were observed, while correlations with the indirect effects were negative.
While correlations with IQ across a large population may be real, such a relationship must be unreliable for individual patients whose CFFT could be altered in ways that are very specific to those patients' visual experience and abilities.
Movements occur on a much slower time scale while correlations with motor neuronal spike times can be more temporally precise.
The correlation between PSO-LIFE and PASI scores was moderate (r = −0.43) while correlations with DLQI and PDI dimensions ranged from moderate to high (between 0.4 and 0.8).
All were highly statistically significant (p < 0.001), while correlations with SF-36 pain, physical function, role physical, social function and energy/vitality domains were all r ≥ 0.5.
The correlation between PSO-LIFE and PASI scores was moderate (r = −0.43) while correlations with the DLQI and PDI ranged from moderate to high (between −0.4 and −0.8 in the different questionnaires).
Simultaneously, patients' ratings correlated most strongly with BDI dif for both CGI-I and CGI-S dif while correlations with BDI for the other two perspectives were virtually zero.
The correlations between mercury and BP and Holter parameters are presented in Table 3. Blood mercury concentration was negatively correlated with LF (r = -0.18; p = 0.02), SDNN (r = -0.14; p = 0.047) and CVRR (r = -0.18; p = 0.011) while correlations with other HRV indices did not reach statistical significance.
In the univariate analysis, association between aesthetic discomfort (VAS), or the magnitude of the aesthetic damage (medicolegal scale), and qualitative parameters was assessed by means of a Student's t test or Kruskal Wallis test, while correlations with quantitative parameters were tested using Pearson or Spearman rank correlation.
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