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The statistical significance of differences between values was evaluated by one-way ANOVA.
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Differences between values were evaluated using a Wilcoxon matched-pairs signed rank test.
The differences between values were evaluated through a one-way analysis of variance (ANOVA) followed by pair-wise comparison with the Student-Newman-Keuls test.
Differences between values were evaluated for statistical significance by use of ANOVA followed by Tukey's post test analysis.
The statistical significance of differences between the values was evaluated using a one-way ANOVA.
Correlation between numerical values was evaluated by using Spearman's rank-correlation coefficient (r).
The difference between mean values was evaluated by using the ANOVA and considered to be statistically significant when P < 0.05.
The significance of differences between mean values was evaluated by Student t test (*, p < 0.05; **, p < 0.01).
The significance between mean values was evaluated using the two-tailed unpaired Student's t-test (P < 0.05).
The statistical significance of the difference between correlation values was evaluated using the statistical test described by Steiger [ 14], using the R statistical analysis package (R Foundation for Statistical Computing, Vienna, Austria (URL http://www.R-project.org/).org/
The significance of differences between the mean values was evaluated using the paired Student's t-test.
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