Sentence examples for mean continuous variables from inspiring English sources

Statistical analysis included the chi-square test for the categorical variables and analysis of variance for the mean continuous variables.

For regression analyses, all variables were centralized around the mean (continuous variables) or scored as −0.5 versus 0.5 (dichotomous variables).

T tests were used for comparing mean continuous variables, log odds ratio of frailty and AUC in logistic regression.

In the case of the other variables, the missing values were recoded to the mean (continuous variables) or most frequent value (categorical variables).

Differences among mean continuous variables by BMI/GDM group were evaluated using ANOVA with a standard Tukey honestly significant difference adjustment for multiple comparisons.

Associations between categorical variables and GDM subtype were assessed using χ tests; differences in mean continuous variables by subtype were evaluated using ANOVA with Tukey honestly-significant-difference adjustment for multiple comparisons.

Univariable analyses were performed with the procedures for cross tables (dichotomous variables) or comparison of means (continuous variables) as appropriate.

Student's t test (two groups) or one-way ANOVA (>two groups) were used to compare means (continuous variables with normal distribution).

Sample characteristics are expressed as means (SD of the mean) for continuous variables and as frequencies (percentages) for categorical variables.

Descriptive statistics included means (± standard deviation of mean) for continuous variables or percentages for categorical variables.

b data was presented as the mean value ± standard error of the mean for continuous variables.