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Há 10 horas · Microfilariae periodicity and three groups comparison of L3 number were analyzed by Kruskal–Wallis test. Three groups comparison of L3 to L4 molting assay was analyzed by one-way ANOVA.
Há 10 horas · Results were validated in 361 patients from the 2017 TCGA MIBC cohort (median age 69, IQR 60-77 years, 27% female), in the Chungbuk and MDACC cohort. Gene expressions were correlated with clinicopathologic parameters using the Mann-Whitney test, Kruskal-Wallis- test and Spearman correlation.
Há 10 horas · TCGA-KIRP data were used to analyze the relationship between CDCA genes expression in KIRP tissues and their clinicopathological features, such as pathological T, N, and M staging, and gender. Boxplots drawn using the R package ggplot2 were used to visualize the above associations. The Kruskal–Wallis test was applied for multiple group ...
Há 10 horas · The Kruskal–Wallis test and the Nemenyi post hoc test were used to compare the shelter capacity under different water flow conditions. The Mann–Whitney test [ 32 ] was used to compare the significance of the difference in the shelter capacity in the tank with or without food.
Há 10 horas · Statistical parameters were used with an alpha value of 0.05 for the Kruskal-Wallis/Wilcoxon tests and a threshold of 2.0. Co-occurrence and clustering analysis Correlation relationships between core microbes associated with PTB were determined by co-abundance network analysis [ 36 ].
Há 10 horas · The Kruskal-Wallis H test was used to analyze histological scores and non-Gaussian distributed data, and the Dunn-Bonferroni post hoc test was performed for pairwise comparisons. Pearson’s correlation test was used to analyze the correlation between different parameters. Two-tailed P values < 0.05 were considered statistically significant.
Há 10 horas · For continuous variables, data are reported as the median and interquartile range (IQR); for categorical variables, data are reported as counts (%), as applicable. Fisher’s exact, chi-square, and nonparametric Kruskal–Wallis tests were used to assess group differences. The number of missing values was less than 5% for each variable.
