Sentence examples for variables were studied using the from inspiring English sources

Blood gas variables were studied using the variance analysis test for repeated measurements.

Categorical variables were studied using the χ test or Fisher's exact test when necessary.

Normality of all variables was studied using the Kolgomorov-Smirnov test.

Association between PELP1 protein expression and different clinicopathological variables was studied using the chi-square test.

The variables were studied using a central composite design and textural characteristics were assessed using the TA-XT2, colour by the Minolta Chroma Meter.

The differences between groups for continuous variables were studied using either unpaired t tests or the Mann-Whitney U test depending on the normality of their distribution, or when comparing more than one group the one-way analysis of variance with Bonferroni multiple comparison test or Kruskal-Wallis test with Dunn multiple comparison test depending on normality of distribution.

The variables were studied using χ2 and Fisher's exact tests for qualitative variables and the Student's t-test for quantitative variables.

The correlations between the independent variables were studied using Spearman rank correlation coefficients.

In a second step, the structural relations between the (latent) variables were studied using structural equation modeling (SEM) [ 24].

The variables were studied using a central composite design.

Associations between biomarker concentrations and other clinical variables were studied using Spearman's nonparametric correlation and the Mann–Whitney test.