Sentence examples for between variables were explored from inspiring English sources

Relationships between variables were explored using Spearman's Rank order correlations.

Potential interactions between variables were explored as required.

Correlations between variables were explored using Pearson's coefficient.

23 Spearman correlation coefficients were calculated for continuous baseline characteristics, and associations between variables were explored.

Phenotypic relationships between variables were explored using the survey models of Stata 10 (StataCorp 2007).

Interactions between variables were explored by considering further models including an interaction between each pair of variables with a likelihood ratio test performed by comparing the model with and without interactions to determine the significance of each interaction term.

The correlation between variables was explored using Spearman's rank correlation test, and for temporal changes, repeated-measures analysis of variance (ANOVA) was applied.

Correlations between continuous variables were explored using Pearson coefficients.

Univariate associations between school seroprevalence and environmental variables were explored, and colinearity (correlation coefficient > 0.9) between variables was tested.

Hierarchical clustering and indicator species analysis defined species assemblages, and then correlations between species assemblages and environmental variables were explored with non-metric multidimensional scaling, analysis of variance and χ2 testing.

Associations between miRNA expression and clinicopathological variables were explored using Mann Whitney U and Kruskal-Wallis test as appropriate.