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Correlation between variables was made by Spearman's coefficients; ROC curve parameters (sensitivity, specificity, area under curve) were used to assess the reliability of body composition variables to assess the presence of NAFLD.
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Correlations between variables were made by using Pearson's product-moment correlation coefficient.
The SEM with the relationships between the variables was made clear a priori in graphical terms by a path diagram.
The association between categorical variables was made by χ2 test and Fisher exact test and odds ratio was used to measure the strength of the association.
The association between categorical variables was made using either Fisher or χ tests, and differences in the distribution of continuous variables were evaluated using the Mann–Whitney U-test.
Comparison between the categorical variables was made with the chi-square test.
Association between the qualitative variables was made using the chi-square test.
Comparison of the association between age and other variables was made using the χ test or a χ for trend where appropriate.
A comparison of this clinical and biological variables was made between two groups the first one with an ineffective Cmax of Amikacin (< 64 pg ml) and the second with an effective Cmax of Amikacin (> 64 pg ml).
The association between air pollution and certain health variables was made clear by simple graphic representations or by comparisons of mortality rates for these time periods (Firket 1931; Logan 1953).
A comparison of TLR2 expression between all three tissues and correlation with variables was made using one-way ANOVA and t-test.
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