Sentence examples for between groups for non-parametric from inspiring English sources

Comparisons between groups for non-parametric data were done by Kruskal-Wallis analysis of variance.

Either the Student-t or the Wilcoxon Mann-Whitney tests were used to evaluate the differences of the means between groups for parametric and non-parametric populations, respectively, with a P value of <0.05 as significant.

To account for non-normality of the cost data, we estimated 95% confidence intervals (95% CIs) for differences between groups, applying a non-parametric bootstrap approach using the percentile method [ 37, 38].

Whenever a non-normal distribution was detected, between-group comparisons used non-parametric tests.

We tested differences in factor scores between groups by using non-parametric tests (Mann-Whitney for two groups and Kruskal-Wallis for more than two groups).

Effects on arrhythmia incidences were compared between groups using a non-parametric Wilcoxon test for paired data.

All other impact and outcomes measures will be analysed cross-sectionally at 1, 12 and 24 months, to estimate the prevalence of each impact and outcome, their association with demographic and risk factors, and differences between the intervention and comparison groups using contingency tables for non-parametric data and t-tests for parametric data.

To compare the differences in expression of TWEAK and Fn14 between groups the Mann–Whitney U test for non-parametric data was used.

For non-parametric comparisons between groups, the Χ 2 test was performed.

For non-parametric comparisons between groups the Wilcoxon and Mann–Whitney U tests were used for paired and unpaired values, respectively.

Comparisons between genotype groups were performed with Kruskal-Wallis H test for non-parametric variables, and with ANOVA for parametric variables.