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Comparisons between groups for continuous data were made using the Mann-Whitney U test or Student's t test.
Welch's t-test was used for comparison between groups for continuous variables.
A one-way ANOVA was performed to identify baseline differences between groups for continuous variables.
Two sided ANOVA tests were used for assessing differences between groups for continuous variables.
The Wilcoxon rank sum test was used to analyse the differences between groups for continuous variables.
Wilcoxon Mann–Whitney tests were used to compare differences between groups for continuous variables.
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The differences between groups for the continuous variable, age, was tested by student's t test.
Because of repeated measurements for all patients, we used linear mixed model analyses to assess differences within and between groups for all continuous outcomes, correcting for baseline scores, age, sex, proportion of patients with MRC score above 2, and clustering of patients per general practice.
Comparisons between two groups for continuous variables were performed using Mann-Whitney test and between three groups, Kruskal-Wallis followed by Dunn's post hoc test for parameters with non-normal distribution.
Comparisons between two groups for continuous variables were performed using Student's t test and between three groups, one-way ANOVA for parameters with normal distribution.
Comparisons between two groups for continuous variables were made using Student's t test or the Mann–Whitney U test.
More suggestions(11)
between genotypes for continuous
between levels for continuous
between groups for non-parametric
between groups for high-grade
between groups for key
between groups for overall
between outcomes for continuous
between values for continuous
between groups for two-sided
between groups for categorical
between groups for mean
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