Report Output | Overviews | AE Severity ANOVA

AE Severity ANOVA
The AE Severity ANOVA report screens all adverse events by performing a mixed-model analysis of variance, with average ranked severity score as the dependent variable and customizable fixed and random effects. A separate ANOVA is fit for each distinct adverse event. Volcano plots and other output enable efficient screening of adverse event severities that differ between treatment groups. If a patient has multiple instances of a particular adverse event, then those scores are averaged to form a single score for analysis.
Running this report for Nicardipine using default settings generates the report shown below.
The Results window contains the following elements:
Results Section
This pane enables you to access and view the output plots and associated data sets on each tab. Use the drop-down menu to view the section in the Results pane or remove the section and its contents from the Results pane.
The following sections are generated by this report:
Results: This tab shows the primary results from the analysis, including Volcano Plots and various analyses on least squares means.
Variability Estimates (AE Severity ANOVA): This tab shows the analyses on variance component estimates from the ANOVA model fits.
Down Buttons
down buttons provide you with an easy way to down into your data. The following down buttons are generated by this report:
Fit Model and Plot LS Means: Select points or rows and click to select variable(s) that uniquely define wide column names. Selected Findings tests are analyzed in the JMP Fit Model platform to view detailed fitting results and plots. Attention: Read the warning found in the link.
Construct One-way Plots: Click to plot the original data in one-way format using treatment variables of your choice.
Output Data
This pane provides links to the following output data sets:
Significant Differences Data Set: This output data set contains a complete list of the adverse events significant by one or more criteria. This data set is indicated by the _sig suffix. Click Open to view the data set.
Stacked Significant Differences Data Set: This output data set contains a complete list of all adverse events for all subjects. It is typically very tall.
Experimental Design Data Set: This is a SAS data set that provides information about the columns of a tall data set. It describes relevant experimental variables such as treatment conditions and covariates as well as a variable named ColumnName. Refer to The Example Data for more information. Click Open to view the data set.
General
Click to generate a standardized pdf- or rtf-formatted report containing the plots and charts of selected sections.
Click to read user-generated notes. Refer to View Notes for more information.
Click the Options arrow to reopen the completed report dialog used to generate this output.
Click the gray border to the left of the Options tab to open a dynamic report navigator that lists all of the reports in the review. Refer to Report Navigator for more information.
Note: For information about how treatment emergent adverse events (TEAEs) are defined in JMP Clinical, please refer to How does JMP Clinical determine whether an Event Is a Treatment Emergent Adverse Event?.