Examples of 'kruskal-wallis' in a sentence
Meaning of "kruskal-wallis"
kruskal-wallis (noun): Refers to a statistical test used to compare the ranks of different groups. It is often used in research and data analysis to assess differences between multiple independent groups
How to use "kruskal-wallis" in a sentence
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kruskal-wallis
A Kruskal-Wallis test was also carried out.
Means were compared by the nonparametric Kruskal-Wallis test.
The Kruskal-Wallis test was used for comparisons of medians.
No significant differences were detected with a Kruskal-Wallis test.
A Kruskal-Wallis analysis of variance was performed to analyze the data.
Nerve histology was analyzed with a Kruskal-Wallis model.
The Kruskal-Wallis test was used to analyze nonparametric data.
In the torsion assays we used the Kruskal-Wallis test.
A Kruskal-Wallis test was applied for comparisons across ages.
Data were analyzed statistically through the Kruskal-Wallis test.
We used the tukey or kruskal-wallis tests to differentiate on treatments.
Multiple groups were compared with the Kruskal-Wallis test.
The Kruskal-Wallis test was used to compare all groups.
The notes of each characteristic were compared by kruskal-wallis test p.
A Kruskal-Wallis rank sum test of the equality of populations was conducted.
See also
Group means were compared through the Kruskal-Wallis test.
The Kruskal-Wallis test was used to compare the three groups.
Biochemical data were tested using the Kruskal-Wallis nonparametric test.
The Kruskal-Wallis test was used for multiple independent samples.
A reliability analysis was executed using the Kruskal-Wallis test.
The Kruskal-Wallis test was used as a further analysis method.
Inter group differences were analysed with Kruskal-Wallis statistical test.
The Kruskal-Wallis test was used for the intergroup statistical analysis.
Comparison of unpaired observations was carried out using Kruskal-Wallis test.
We also used the Kruskal-Wallis test for comparison between groups.
Differences related to septic status were analyzed with the Kruskal-Wallis test.
Groups were compared using kruskal-wallis anova on ranks complemented by dunn test.
Kruskal-wallis test or fisher 's exact test was used to analyze continuous or categorical.
The results were submitted to the kruskal-wallis test complemented by dunn 's method.
Variables compared between subgroups were assessed by the nonparametric Kruskal-Wallis test.
Comparisons among the groups were done by the Kruskal-Wallis non-parametric test to determine p.
The Kruskal-Wallis was used to compare the categorized scores of the different questionnaires.
The three age groups were compared using the Kruskal-Wallis test.
The Kruskal-Wallis test was used to determine significance differences between two groups.
Continuous outcomes were compared between groups with the Kruskal-Wallis test.
When there were three or more groups, Kruskal-Wallis nonparametric analysis of variance was used.
Data were submitted the statistical analysis using the kruskal-wallis test.
The Kruskal-Wallis test for analysis of variance was used with non-parametric variables.
We obtained the values that were applied nonparametric kruskal-wallis and dunn.
Nonparametric Kruskal-Wallis test was applied to compare those measures among the four groups.
The differences of these groups were examined by the Kruskal-Wallis test.
The Kruskal-Wallis test was used to compare company characteristics at baseline, which were nonnormal variables.
The data were statistically analyzed by means of the kruskal-wallis test or mann-whitney.
The Kruskal-Wallis test was used to compare the groups of non-parametric continuous variables.
As only age had a nonnormal distribution, the nonparametric Kruskal-Wallis test was used.
The nonparametric Kruskal-Wallis test was used to compare the medians of each relevant variable.
To compare numerical variables between groups at baseline, the Kruskal-Wallis test was used.
In both groups, the kruskal-wallis test indicated similarity between the time inte.
Quantitative data among the four groups were compared by Kruskal-Wallis analysis of variance.
The Kruskal-Wallis test is a nonparametric test that compares three or more unpaired groups.
