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. Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do not have to assume sphericity.Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3).Ordinary or repeated measures 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 Discovery 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.Automatically generate volcano plot (difference vs.Reports P values and confidence intervals. Choose to make the axis scale logarithmic with log spaced minor ticks, and to create a grid line at X=1.0. Double-click on the X axis to bring up Format Axis. To make the graph horizontal (as below), double click on the graph to bring up Format Graph, and go to the third tab.Ħ. If you choose to plot a confidence interval instead, Prism will compute a confidence interval from the three values you enter and the results will be nonsense.ĥ. The median and range of the three values you entered are the odds ratio and its confidence limits computed elsewhere. Note that Prism's doesn't (can't) know that each column contains a computed odds ratio along with the low and high confidence limits. When you first go to look at the graph, Prism will prompt for the kind of graph you want. You may use Greek symbols, super and subscript, etc.ģ. Label the studies by entering column titles. The order of those three values doesn't matter. Enter in each column the Odds ratio itself, as well as the high and low confidence limits (computed elsewhere). Enter the results for each study into a separate data set column. (In this case, they are not replicates, but Prism thinks they are).Ģ. Keep the default choice to enter the "replicates" into columns. There are a few tricks to making this graph:ġ. It graphs odds ratios (with 95% confidence intervals) from several studies. This graph below is a Forest plot, also known as an odds ratio plot or a meta-analysis plot.
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