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Correlations between parameters were determined using the Pearson's correlation coefficient.
Correlations between parameters were determined by the Pearson coefficient and considered significant if P < 0.05.
Correlations between parameters were determined using Spearman correlation coefficients or simple linear regression analysis.
Ratios between parameters were determined for each animal individually before calculating the mean per group.
Correlations between parameters were determined using linear regressions and assessed using Pearson product moment correlation coefficients.
Similar(55)
Correlation coefficients between different parameters were determined by the Spearman's test for untransformed data.
Correlations between different parameters were determined by Spearman's rank correlation coefficient.
The interrelationships between different parameters were determined using Spearman's correlation.
Relationships between parametrical parameters were determined using Pearson's correlation coefficient, while Spearman's correlation coefficient was used to identify relationships between non-parametric parameters.
Correlations between various parameters were determined using linear regression analysis and by computing regression equations and correlation coefficients, and the function of better fit was determined.
Relationships between normally distributed parameters were determined using Pearson correlation coefficients.
More suggestions(15)
between parameters were measured
between parameters were assessed
between proportions were determined
between parameters were justified
between scores were determined
between means were determined
between parameters were performed
between HAPs were determined
between parameters were defined
between data were determined
between SNPs were determined
between parameters were described
between parameters were tested
between treatments were determined
between parameters were analyzed
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