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In order to evaluate the biological importance of the markers analysed, a multiple-variable correlation analysis was performed between the markers (Partek software).
The correlation between fatty acid composition and acute phase proteins was investigated by Pearson's (parametric variables) or Spearman's (nonparametric variables) correlation analysis.
We used χ statistics (reporting Yates's continuity correction where there was only one degree of freedom, and Mantel–Haenszel linear-by-linear χ-test for linear association between two variables) correlation analysis to make comparisons between groups of doctors and to test their statistical significance.
Substitution of a lens transmission variable by age variable in correlation analysis revealed that the significant effect of age was larger than that of lens transmission for sustained pupil response and early poststimulus AUC at 300 cd/m blue light: R of 0.15 (p = 0.014) and 0.29 (p = 0.0003), respectively.
The χ-square test was used for testing relations between categorical variables and correlation analysis was used for continuous variables.
In order to use the less possible number of variables, a correlation analysis was conducted among the output variables.
First and second mode eigenfunctions were explored using time-variable linear correlation analysis with several nearshore parameters that include hydrodynamic variables, sedimentary and geometric characteristics of each embayment in order to derive forcing response relationships.
Correlation coefficients were adjusted for demographic and socioeconomic variables (adjusted correlation analysis).
To measure the strength of association between two continuous variables, Pearson correlation analysis was used.
To analyze the correlation between LMCA-fat thickness and the related variables, Pearson correlation analysis was performed.
Physiological responses (the difference between the average of the whole stressful task (0 60 min) and the average of the baseline period) and subjective responses to the stressful task (the difference between the maximal value during the 60 minute stress period and the value reported immediately before starting the test) were calculated as summary-variables for correlation analysis.
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