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- Paired or unpaired t-test. Reports the P-value and the confidence interval.
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- Nonparametric Mann-Whitney test, including confidence intervals for differences in medians.
- Kolmogorov-Smirnov test to compare two groups.
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- Perform multiple t-tests at once, using the false discovery rate (or Bonferroni’s multiple comparisons) to choose which ratio is a discovery for further study.
- The usual or repeated ANOVA measurements are followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni, or Holm-Sidak double comparison test, the trend post-test, or the Fisher’s Least Significant test.
- One-way ANOVA without assuming that the population with the same standard deviation uses Brown-Forsythe and Welch ANOVA, followed by an appropriate comparison test (Games-Howell, Tamhane T2, Dunnett T3)
- Many multiple comparison tests were accompanied by confidence intervals and P values adjusted for variability.
- Greenhouse-Geisser correction so that repeated measurements of one, two, and three-factor ANOVA do not necessarily assume roundness. If this option is selected, the multiple comparison test does not assume roundness either.
- Kruskal-Wallis or Friedman unidirectional nonparametric ANOVA with Dunn’s post-test.
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- Three-way ANOVA (limited to two levels in two factors and several levels in the third).
- Analysis of repeated measurement data (one, two, and three directions) using a mixed-effects model (similar to repeated measures ANOVA, but capable of handling missing data).
- Kaplan-Meier survival analysis. Compare the curves with log-rank tests (including trend tests).
- Compare data from nested data tables using a nested t-test or a one-way nested ANOVA (using a mixed-effects model).
- Match one of our 105 built-in equations or enter your own. It now belongs to the family of growth equations: exponential growth, exponential plateau, Gompertz, logistics, and beta (growth then decrease).
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- Apply limits.
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- Specify the covariance matrix or the set of dependencies.
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Principal Component Analysis (PCA):
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- Normality test using four methods (new: Anderson-Darling).
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Simple Linear Regression and Correlation:
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- Calculate and graph the residuals in four different ways (including QQ plots).
- Compare the slopes and intersections of two or more regression lines.
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- Pearson or Spearman correlation (nonparametric).
Generalized Linear Models (GLMs):
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- Multiple linear regression (when Y is continuous).
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- Logistic regression (if Y is binary; yes / no, pass / fail, etc.).
Clinical (Diagnostic) Lab Statistics:
- The Bland-Altman plot.
- Reception of the operator characteristic curve (ROC).
- Deming regression (type II linear regression).
- Simulate an XY, Column, or Contingency table.
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- The area under the curve, with confidence intervals.
- Transform the data.
- Identification of outliers.
- Normality test.
- Change the order of the table.
- Subtract the baseline (and join the columns).
- Count each value as a fraction of the row, column, or total.
Analysis Bug Fixes:
- Fixed the issue in which Multiple Logistic Regression analysis results were incorrectly updated upon changing categorical Negative and Positive outcome values in the parameters dialog.
- Fixed the issue in which Prism would crash while attempting to perform Nonlinear Regression with an implicit equation with no constraint for one of the parameters.
- Fixed the issue in which the profile likelihood CI was incorrectly calculated for some models of the Nonlinear Regression analysis.
- Fixed the issue in which Multiple Logistic Regression results were incorrectly updated after changing data for the dependent (outcome) categorical variable.
- Fixed the issue in which results of the “Smooth, Differentiate, or Integrate Curve” analysis were incorrect when the source data contained missing Y values.
- Fixed the issue in which the alert “This file was created by a new version of Prism” appeared in Prism 8 upon opening a Prism 9 project with t-test analysis results that did not contain an Estimation Plot.
- Fixed the issue in which Prism would freeze while attempting to perform Nonlinear Regression with options to identify “unstable” parameters and an equation containing the “beta(j,k)” function.
- Fixed the issue in which the floating note “The model has changed. Please, re-define” did not appear in the Multiple Linear and Logistic Regression results if variables used in the model were deleted from the input data.
- Fixed the issue in which the “β0=(Undefined)” VIF constant of the Multiple Logistic Regression analysis was wrongly reported in the Hook constant dialog.
- Fixed the issue in which Prism would crash when attempting to perform Multiple linear regression with 1023 interactions without an intercept term.
- (Win) Fixed the issue in which it was impossible to switch to the results of Multiple logistic regression after changing variable types in the source data table.
- (Win) Fixed the issue in which incorrect level names appeared in the “Negative/Positive” Outcomes dropdown menus in the Multiple Logistic Regression parameters dialog.
- (Win) Fixed the issue in which the yellow iteration window did not appear when attempting to perform Multiple Logistic Regression for categorical variables with a huge number of levels.
- (Mac) Fixed the issue in which it was possible to select the same value for both the Positive and Negative Outcome in the Multiple Logistic Regression parameters dialog.
- (Mac) Fixed the issue in which the “Recalculate automatic reference levels” checkbox was unexpectedly enabled in the Reference Level tab of the Multiple Linear Regression parameters dialog if the “Define reference level” section was empty.
- (Mac) Fixed the issue in which the text string “Unpaired (two-sample t-test)” unexpectedly appeared in the “Parameters: Multiple t-tests” dialog when selecting an Unpaired Experimental Design and the option for “nonparametric” under “Assume Gaussian distribution?”.
- (Mac) Updated Prism to automatically select the first two data sets for the “Multiple t-tests” analysis invoked via the analysis toolbar button from a data table with three or more data set.
Other Bug Fixes:
- (Mac) Added, “Save a Copy” and “Rename This File” items to the list of Save commands on the main toolbar.
- (Mac) Fixed the crash that occurred when opening a Prism document containing a grouped bar graph with a vertical separating line generated from an analysis.
- (Mac) Fixed a rare crash that occurred when opening a Prism project containing certain pairwise comparison lines on a graph.
- (Mac) Fixed the issue in which the “Format Graph” and “Pairwise Comparisons” buttons on the toolbar unexpectedly appeared inactive (dimmed) for residual graphs.
- (Mac) Fixed the issue in which the “Delete Sheet(s)” dialog appeared instead of the “Delete all [ ] sheets in the family?” error message after clicking on the “Family” folder and pressing the Delete key on the keyboard.
- (Mac) [macOS Big Sur] Fixed the issue in which the “Order” column title on the “Reference Level” tab of the “Parameters: Multiple Logistic Regression” dialog was clipped.
- (Mac) Fixed the typo in the Connecting Line Options tab of the Format Graph dialog for multiple variables graphs.
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