Reports | Correlated Findings

Correlated Findings
This report calculates pairwise correlations between tests within each findings domain and identifies unusual results at specific study sites.
Report Results Description
Running Correlated Findings for Nicardipine using default settings generates the report shown below.
The Report contains the following elements:
Correlated Findings Volcano Plot
This plot show points representing the correlations between findings. Points close to zero show little or no correlation. Correlations increase the further (either positively or negatively) the further they are from zero. Selected points, in the figure below, are positively correlated.
Data Filter
This enables you to subset subjects based on demographic characteristics and study site. Refer to Data Filter for more information.
Action Buttons
Action buttons, provide you with an easy way to drill down into your data. The following action buttons are generated by this report. Use your mouse to select one or more sites of interest before selecting a drill down option, as shown below:
Show Sites : Shows the rows of the data table for the selected points from the volcano plot . Clicking opens the following table:
Show Correlation Plot : Click to display correlation plots for the selected points.
Show Findings : Click to display all a table of the selected correlated findings.
Click to generate a standardized pdf - or rtf -formatted report containing the plots and charts of selected sections.
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.
Fisher's transformation (Fisher, 1921 1 , 1970 2 ) of the correlation coefficient is calculated for all pairs of tests by CDISC findings domain, with each site (the suspect site, indexed with s ) compared to all other sites taken together as a reference (indexed as o ). Corresponding p -values are calculated according to a normal approximation.
FDR p -values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)? .
Report Options
Report Option Descriptions
Specific documentation for each of the options can be viewed by clicking on the following links:
General Options
Analyze all tests from all findings domains , Findings Tests , Analyze: , Consider BY variables in the analysis
Summarize sites with at least this many subjects: , Alpha
Subject Filter 3
Additional Filters
Additional Filter to Include Subjects 4 , Select the population to include in the analysis

Fisher, R.A. (1921). On the "probable error" of a coefficient of correlation deduced from a small sample. Metron 1: 3-32.

Fisher, R.A. (1970). Statistical Methods for Research Workers, 14th Edition. Davien, CT: Hafner Publishing Company.

Subject-specific filters must be created using the Create Subject Filter report prior to your analysis.

For more information about how to specify a filter using this option, see The SAS WHERE Expression .