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Associations between variables were analysed using the Spearman's correlation.
Interrelationships between variables were analysed using crosstabulations, the Chi-square statistic and bivariate logistic regression.
Correlations between variables were analysed by using Pearson correlation or Spearman's rho tests when appropriate.
Associations between variables were analysed by the Spearman rank order correlation analysis (rs).
Relationships between variables were analysed by simple linear regression, or stepped multiple regression analysis with entry at p < 0.1.
Statistical differences between variables were analysed with unpaired/paired t-tests or analysis of variance (ANOVA), as appropriate.
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Correlation between variables was analysed by Spearman test.
Correlations between variables was analysed using the non-parametric Spearman Rank Order Test.
The correlation between variables was analysed with the Pearson and the Spearman tests.
The strength of association between variables was analysed with the Pearson product moment correlation coefficient when the data were normally distributed or with the Spearman product moment correlation coefficient if the data displayed a non-Gaussian distribution.
The relationships between categorical variables were analysed using the chi-square method and between quantitative variables by the Student's t test.
More suggestions(17)
between variables were identified
between values were analysed
between variables were examined
between variables were explored
between variables were calculated
between variables were assessed
between factors were analysed
between datasets were analysed
between interventions were analysed
between tissues were analysed
between variables were compared
between variables were declared
between variables were found
between morphotypes were analysed
between samples were analysed
between variables was analysed
between variables were tested
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