Compare curves with the log-rank test (including test for trend). Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).Tukey, Newman-Keuls, Dunnett, Bonferron, Holm-Sidak, or Fishers LSD multiple comparisons testing main and simple effects. Two-way ANOVA, with repeated measures in one or both factors.Two-way ANOVA, even with missing values with some post tests.Calculate the relative risk and odds ratio with confidence intervals. Fisher’s exact test or the chi-square test.Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn’s post test.When this is chosen, multiple comparison tests also do not assume sphericity. Greenhouse-Geisser correction so repeated measures one-way ANOVA does not have to assume sphericity.Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.Ordinary or repeated measures one-way ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests.Perform many t tests at once, using False Discover Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further.Wilcoxon test with confidence interval of median.Kolmogorov-Smirnov test to compare two groups.Nonparametric Mann-Whitney test, including confidence interval of difference of medians.Reports P values and confidence intervals.
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