Report Output | Overviews | Frequencies

Frequencies
This report identifies unusual frequencies across the entire study or by study visit. This analysis is typically used on categorical variables, though an analysis on continuous outcomes can identify an over- or under-representation of certain values at a site compared to other sites.
Note: JMP Clinical uses 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 report with the Nicardipine sample setting generates the report shown below.
The Report contains the following elements:
Frequencies Volcano Plot: Shows a volcano plot used to determine the deviation of the proportion of findings frequencies at each site with the overall proportions for the findings across the whole study.
ECG Test Results (Frequencies): Displays histograms summarizing ECG findings across the study.
Laboratory Test Results (Frequencies): Displays histograms summarizing lab test findings across the study.
Vital Signs (Frequencies): Displays histograms summarizing vital signs findings across the study.
Down Buttons
down buttons, provide you with an easy way to down into your data. The following down buttons are generated by this report:
Show Sites: Shows the rows of the data table for the selected points from the volcano plot. Clicking opens the following table:
Frequency Barcharts: Select points on the volcano plot and click to display a bar chart for each point showing the proportions of each value of the Findings Test for the site as compared to the distribution of all of the other sites combined.
Profile Subjects: Select subjects and click to generate the patient profiles. See Profile Subjects for additional information.
Show Subjects: Select subjects and click to open the ADSL (or DM if ADSL is unavailable) of selected subjects.
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.
Methodology
This report compares the observed distribution of categorical tests with each site compared to all other sites taken together as a reference, ordering by numeric equivalent if available. For example, if character variable lists none, mild moderate, severe, very severe with corresponding numeric value (xxSTRESN) listed as 0, 1, 2, 3, 4, the intended order of the column variable levels are maintained.
 
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Calculate a general chi-square tests for association (Stokes et al., 20121),
FDR p-values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)?.

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Stokes ME, Davis CS, Koch GG. (2012). Categorical Data Analysis Using SAS, Third Edition. Cary, NC: SAS Institute, Inc.