Comparison of data from nested data tables using nested t test or nested one-way ANOVA (using mixed effects model).Analysis of repeated measures data (one-, two-, and three-way) using a mixed effects model (similar to repeated measures ANOVA, but capable of handling missing data). Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher’s 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.
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