Exact(1)
With respect to the statistical analyses of survival curves, the Kaplan-Meier method, where differences in outcome between groups is tested with the log-rank test, provides a useful (and visual) method for assessing differences in survival curves.
Similar(59)
Differences between groups were tested with one-way ANOVA and Tukey-Kramer post-hoc test.
Statistically significant differences between groups were tested using Tukey's HSD test P < 0.05.
In b d, statistically significant differences between groups were tested using Tukey's HSD test P < 0.05.
Since the null hypothesis (normality) was rejected with p < 0.05 the difference between groups was tested with Wilcox test.
Differences of means between groups were tested for statistical significance with Student t test, and a P value < 0.05 was considered statistically significant.
Differences between groups were tested with a oneway repeated measures ANOVA and carried out with Bonferroni correction (p≤0.05).
Unadjusted differences between groups were tested using t tests and, where noted, Fisher's exact tests.
Differences in categorical data between groups were tested with the chi-square test.
Differences between groups were tested with the two-tailed Mann-Whitney test (GaphPad Prism 6.0 for Windows, GraphPad Software Inc, La Jolla, CA, USA).
The statistical significance of differences between groups was tested using two-way ANOVA with Bonferroni post hoc tests.
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