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23 Baseline differences between groups for continuous variables were assessed using Student's t test, and for categorical variables using the χ test.
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Difference for continuous variables was assessed using the t-test, whereas difference for categorical variables was assessed with the Chi Square Test.
The linearity of the associations for continuous variables was assessed using generalized additive models (GAM) (Wood 2006).
The underlying distributions of continuous variables were assessed using the Shapiro-Wilk test for normality.
Normality of continuous variables was assessed using Kolmogorov Smirnov tests.
Differences in categorical variables were assessed using the χ test, whereas differences in continuous variables were assessed using the ANOVA or the Kruskal-Wallis test for nonparametric data.
Correlations between continuous variables were assessed using Spearman correlation.
Correlations between continuous variables were assessed using the Spearman coefficient.
Continuous variables were assessed using the t test.
Changes in continuous variables were assessed using paired t-tests, and Pearson's coefficient was calculated for correlations.
Additional analyses for all continuous efficacy variables were assessed using LOCF imputation.
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