The significance level was further verified by multiple-comparison analysis with Tukey's test.
Comparison of the groups by analysis of variance (ANOVA) was followed by Newman-Keuls multiple comparison analysis to determine differences between individual groups.
Determination of significant differences between compounds was accomplished by first performing an ANOVA analysis followed by a post-hoc multiple comparison analysis with significance set at <0.05.
In all the groups, one-way analysis of variance (ANOVA) followed by a Tukey's multiple comparison analysis was used to determine differences among the groups.
P-values are indicated as * P = 0.05, ** P = 0.01 and *** P = 0.001 and derived either by two-tailed paired t-test or, for multiple comparison analysis, by one-way ANOVA and Dunnett's post hoc test using GraphPad Prism 6.
Behavioral date was analyzed by a two-way repeated measures analysis of variance followed by Bonferroni test as the multiple comparison analysis.
The statistical significance of TGI values was determined by one-way ANOVA with Bonferroni multiple comparison analysis using GraphPad Prism 5.02.
Significant differences among groups were allocated by post hoc Student-Newman-Keuls (SNK) multiple comparison analysis at a = 0.05.
Cumulative tumor volumes [47] and survival graphs were analyzed by ANOVA (post hoc test Dunnett's Multiple Comparison Analysis), Kruskal-Wallis test (post hoc test Dunn's Multiple Comparison Analysis), Chi Square test, and Kaplan-Maier assays using Graph Pad Prism 5.0b.
Global proportions were combined by geographical region into a composite multiple comparisons analysis to compare Madigan serotype distributions with the rest of the world (Table 1).
