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To examine the relationships between these variables, we applied correlation and regression analyses.
Given the potential for more complex relationships between these variables we conducted further analyses.
Given the possibility that this was due to colinearity between these variables, we generated multivariable models with only one of these two predictors along with ICU type.
If there were any significant relationships between these variables, we performed an analysis of covariance with the categorical parameter group (SQ + × SQ-) and the continuous parameter (the confounding variable) to assess its effect on group differences in connectivity.
Based on the correlations that exist between these variables, we propose the existence of a certain level of competition for the same metabolic pathway, which is strongly dependent on the feeding system and on C18 1 VA acid production.
To better understand the mechanism underlying the relationships between these variables, we tested the hypothesis that maths knowledge mediates the effect of maths anxiety on cognitive reflection (see Figure 1).
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It reveals some connections between the variables we selected at the inventory step and leads to the definition of four homogeneous clusters of sites.
Longitudinal research also provides opportunities to examine how the relationships between the variables we examined in our study are mutually shaped over time.
In order to investigate the relations between the variables, we used Spearman's rank correlation test.
To interpret the relationships between the variables we used Lisrel 8.72 [ 27].
To account for multiple measures within an individual as well as potentially strong correlations between the variables, we used generalised estimated equations with an unstructured correlation matrix.
More suggestions(16)
between these years we
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between these mechanisms we
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between these connectives we
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between these communities we
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between these proteins we
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