Resultado da Busca
Há 3 dias · Nonparametric Tests. Estimate and test differences in location parameters without distributional assumptions on the underlying populations. (Wilcoxon Signed Rank, Mann-Whitney, Kruskal-Wallis).
Há 3 dias · Groups were compared with Kruskal-Wallis and Dunn’s post-hoc test using GraphPad Prism ... All immunizations were adjuvanted with a 1:1 volume of Sigma Adjuvant System or SAS (S6322–1VL, Sigma).
Há 3 dias · Differences in normally distributed continuous variables between OC and ED were tested using t-tests or ANOVA. For non–normally-distributed variables differences were tested using the Wilcoxon Rank Sum or Kruskal–Wallis tests. All analyses were conducted using SAS v9.4 (SAS Institute, Cary, NC).
Há 4 dias · Data analysis was performed using JMP Pro 17 (SAS Institute). Outliers with a modified Z-score greater than 3 were eliminated. Data were assessed for normality using a Shapiro-Wilks test. Due to a lack of normality, results were analyzed using the nonparametric Kruskal-Wallis test.
Há 4 dias · For bivariate analyses, we conducted Cochran-Mantel-Haenszel tests for categorical and Kruskal-Wallis test for the continuous variables. Due to the small sample size, statistical significance cut-off was set at a two-sided P ≤ .1.
Há 6 dias · Kruskal-Wallis H-test. It is a non-parametric test of hypothesis testing. Researchers use this test to compare two or more independent samples of equal or different sample sizes. It extends the Mann-Whitney-U-Test, which is used to compare only two groups. One-Way ANOVA is the parametric equivalent of this test.
14 de mai. de 2024 · The Kruskal-Wallis H test is used to determine whether three or more groups’ medians on the same continuous variable differ (similar to a one-way ANOVA, with independent groups). This test does not assume that the data are normally distributed, but it does assume the distributions are the same shape.
