The Mann–Whitney U test and Kruskal Wallis test are the analogous nonparametric methods of t-test and one-way between-groups of variance (analysis of variance, ANOVA), respectively.
The results of one-way between-groups analysis of variance with post-hoc tests on the levels of fatigue among adolescents who had survived cancer, receiving treatment and healthy counterparts are shown in Table 2.
A two-way between-groups analysis of variance was conducted to explore the impact of nadroparin dosage and treatment duration on anti-Xa values.
However, a one-way ANOVA between-groups analysis of variance was performed to explore the impact of gestational age on levels of FMH (by FCM, continuous), as measured by Life Orientation Test (LOT).
A one-way, between-group analysis of variance was conducted to explore the impact of CMHW type on the frequency with which each of the specified mental health disorders were reported to be treated.
One-way between-group analysis of variance (strain) was performed to compare the total activity of the B6 and congenic strains.
A two-way between-groups analysis of variance (ANOVA) was performed to explore simultaneously the impact of group (CI/NCI) and FSIQ-level on the general level of functioning, as measured by the CGAS.
For comparisons of differences between groups, analysis of variance (ANOVA) was used for variables with normal distribution, and Kruskal-Wallis test was used when data were not normally distributed.
To compare the distributions of results between groups of patients, analysis of variance, Kruskal-Wallis rank sum tests and 2-sample tests for equality of proportions with continuity correction were used, where appropriate.
To analyze differences and draw multiple comparisons among the three groups, one-way between-groups analysis of variance (ANOVA) and the Scheffe test were employed.
For all quantitative data, significant overall F values were obtained by using a one-way, between-groups analysis of variance (ANOVA).
