Report Output | Overviews | Summary Statistics

Summary Statistics
This report identifies unusual summary statistics across the entire study or by study visit (if requested). This analysis would typically be used on Findings tests representing continuous variables.
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:
Summary Statistics Volcano Plot: Shows a volcano plot used to determine the deviation of a mean or variance for Findings tests at a site versus other sites. Each point represents a single Findings test for a specific site. Here, the x-axis represents the standardized difference in means between each between the site and the reference set (all other sites). For comparisons of variances, the x-axis represents the log2(Ratio of Variances) between the site and the reference set.
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 Summary Statistics: Shows the rows of the data table for the selected points from the volcano plot. Clicking opens the following table:
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 summary statistic of each site compared to all other sites taken together as a reference.
Mean - An unpaired t-test assuming unequal variances between the groups is used.
FDR p-values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)?.
Variance - A test of unequal variance is used. FDR p-values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)?.
Skewness and Kurtosis - No statistical tests are performed.