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Firstly, MLM allows for the inclusion of interactions between continuous variables (in our case, distance) and categorical predictors (in our case, the type of visualization).
Intra-class correlations were used to measure agreement between continuous variables in children and their parents.
Univariate correlations between continuous variables in pregnancy and AUCgluc at 3 months postpartum were assessed by Spearman correlation analysis.
Differences between continuous variables in relation to the injured shoulder and the uninjured shoulder were assessed with 95% confidence interval (CI) for means.
The first two examples are devoted to the correlation structures between continuous variables in two different settings: first, when there is high correlation coefficient between variables, second, when the variables are not correlated.
The chi-squared test was used for comparisons between categorical variables, and a paired t test was used to compare mean differences between continuous variables in the ezetimibe versus placebo groups.
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Correlations between continuous variables are presented in Table 2.
Pearson and Kendall's tau-b correlations were used for the relationship between continuous variables and S100β levels measured in the various study time points (for example, preoperative tumour volume and baseline S100β levels, duration of surgery, and postoperative S100β levels).
2 Sample size: EE 101, DP 101, PA 99 The correlations between continuous variables and dimensions of burnout are presented in Table 4. DP was positively associated with age, number of children, and number of years in the profession.
Differences between groups in continuous variables were examined by GLM (general linear model) and associations between continuous variables were analysed by linear regression.
To compare the agreement between measurements of continuous variables in 2003/04 and 2004/05 we used the intra-class correlation coefficient (ICC).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com