• In this Volcano Plot , e ach point represents the comparison of a site to all other sites. This comparison is used to determine whether there is a difference in distribution for the last digit for a findings test with numeric data available and is done for all sites across all tests in all findings domains.The Y axis is the -log 10 (Raw Row Mean Score p-value ), which takes advantage of the ordinality of the final digit value, This test uses standardized midrank scores in case there are gaps due to certain digit values not present. Midranks are a way of scoring the columns when the distance between levels does not necessarily have a practical interpretation. Large numbers on the Y axis indicate statistically significant results.Values far from 0 indicate important differences between a site and the reference distribution of all other sites. An FDR ( alpha =0.05) line is indicated by the dotted red line. Values above this line can be considered significant adjusting for multiple comparisons. This could identify rounding issues or other problems with how a site reports a particular test compared to other sites.
• A data filter enables you to subset subjects based on study site, test, and digit. Refer to Data Filter for more information.
• One Data Filter .Enables you to subset subjects based on study site, test, and digit. Refer to Data Filter for more information.
• Show Sites : Shows the rows of the data table for the selected points from the volcano plot . Use your mouse to select one or more sites of interest before clicking this button, as shown below:
• Digit Bar Charts : Clicking displays a bar chart , comparing the last digit distribution between selected sites versus all others, for the points selected in the table. This gives the user the ability to compare just how different each site is for a particular test. The underlying data table is available by going to Script > Data Table . The following chart shows the sites/tests selected above:
• 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 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 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.Compare the observed distribution of the last or first digit for each test with each site (the suspect site, indexed with s ) compared to all other sites taken together as a reference (indexed as o ).
Compared using a row mean score chi -square tests (Stokes et al ., 2012) 2 to take advantage of the ordinality of the column variable.FDR p -values are calculated and the reference line is determined as described in How does JMP Clinical calculate the False Discovery Rate (FDR)? .Analyze all tests from all findings domains , Findings Tests , Analyze: , Consider BY variables in the analysis
This is the maximum of ( p(0 in suspect) - p(0 in reference ), p(1 in suspect) - p(1 in reference) , … p(9 in suspect) - p(9 in reference) ) where p(x) is the percent of records, suspect is the site in question and reference is all other sites that are not the site in question.
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 .