Findings ANOVA

This process screens all findings measurements for a specified domain one at a time by performing a repeated-measures analysis of variance . The baseline measurements can be considered as a covariate or as a response. A measurement is determined to be a baseline measurement by the xxBLFL variable where xx is substituted with the 2 letter code for the chosen domain for analysis. If this variable does not exist, baseline is calculated from measurements taken on or before day 1 of the study. A time window can be specified to determine baseline measurements. A compound symmetry covariance structure is assumed within each subject. A separate model is fit for each lab measurement. You can also separate the data into time windows. A volcano plot of the interaction effect and other output enable efficient screening of lab scores that differ between treatment groups.

For the LB domain, lab measurements are standardized by a reference range derived from the lower limit of normal (LLN) and upper limit of normal (ULN) to facilitate comparisons.

Refer to the Findings ANOVA requirements description for more information.

Note : JMP Clinical employs a special protocol for data including non-unique Findings test names. Refer to How does JMP Clinical handle non-unique Findings test names? for more information.

Running this process for Nicardipine using default settings generates the tabbed Report window shown below. Results organized in sections. Each sections contains one or more plots, data panels, data filters, or other elements that facilitate your analysis.

The Results window contains the following panes:

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 process:

•	LB Results : This tab shows the primary results from the analysis, including Volcano Plot s and various analyses on least squares means.

•	Variability Estimates : This tab shows the analyses on variance component estimates from the ANOVA model fits.

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 Findings tests significant by one or more criteria. This data set is indicated by the _sig suffix. Click Open to view the data set.

•	Stacked Data Set : Contains findings measurements at subject level in a stacked format. Click Open to view the data set.

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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 Sample Case Studies for more information. Click Open to view the data set.

For detailed information about the files and data sets used or created by JMP Life Sciences software, see Files and Data Sets .

Drill Down Buttons

Drill down buttons provide you with an easy way to drill down into your data. The following drill down buttons are generated by this process:

•	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.

•	Trend Plots : Select Findings tests of interest and click to run the Findings Time Trends process to plot the time course of measurements along the trial for selected tests.

•	Shift Plot : Select Findings tests of interest and click to run the Findings Shift Plots process to show differences between baseline and on-treatment findings measurements for selected tests.

•	Box Plot : Select Findings tests of interest and click to run the Findings Box Plots process to show the distributions of measurement values for the selected tests.

•	Waterfall Plot : Click to launch a dialog from which you can generate a waterfall plot to show the distribution of changes in test measurements for the selected Findings domain across subjects

General

•	Click to view the associated data tables. Refer to View Data for more information.

•	Click to generate a standardized pdf - or rtf -formatted report containing the plots and charts of selected sections.

•	Click to view the SAS output file.

•	Click to take notes, and store them in a central location. Refer to Add Notes for more information.

•	Click to read user-generated notes. Refer to View Notes for more information.

•	Click the Options arrow to reopen the completed process dialog used to generate this output.