Reports | Findings Distribution

Findings Distribution
This report compares distributions of Findings and demographic variables across treatment arms .
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.
Note : Refer to Distribution Reports for a description of the general analysis performed by the JMP Clinical distribution reports.
Report Results Description
Running Findings Distribution for Nicardipine using default settings generates the Report shown below.
The Report contains the following sections:
Contains Histogram s to display the distribution of Findings tests taken during the study and other relevant variables for the selected Findings domain.
One Findings Test Counts Graph .
This graph shows a Histogram displaying how often measurements were taken for each findings test ( xxTESTCD ) during the study.
A set of Distributions .
These display counts and histograms of relevant variables in the Findings data set. A distribution of subjects on the Actual , Planned , or Specified Treatment is shown as well as other findings variables (if present). Findings variables displayed can include the Findings Body System ( xxBODSYS ), Reference Range Indicator ( xxNRIND ), the Category for the Test ( xxCAT ) and Subcategory ( xxSCAT ), the Categorical Findings Result ( xxSTRESC , only displayed for categorical findings domains), the Visit and Time Points at which findings were taken ( VISIT and xxTPT ), Baseline Flag ( xxBLFL ), and the Study Day .
These distributions are useful for understanding the frequency and details of findings tests taken during a study. All distributions are linked: You can select bars in one histogram to see where those measurements fall in other findings variables shown on the display. Once you make selections, you can use the down buttons to down on those selected subjects.
Count Plots
The Count Plots section is shown below. This section is shown only when the xxNRIND variable and either VISIT or VISITNUM is found in the Findings data set.
It contains the following elements:
These plots show the distribution of measurements across categories of the Reference Range Indicator variable ( xxNRIND ). For example, you can see how many laboratory measurements for a given test were categorized as HIGH , NORMAL , or LOW based on values of the Reference Range Upper Limit and Reference Range Lower Limit ( LBSTNRLO and LBSTNRHI , respectively). The graph contains bars representing the counts within each category for each treatment across Study Visits ( VISIT or VISITNUM ).
Test Results
Contains One-way Analyses ( ANOVA ) for each test that has numeric measurement results ( xxSTRESN values), Contingency Analyses for each Findings test that has character results ( xxSTRESC values but missing xxSTRESN values), or both.
Note : This section can display analyses for numeric and/or categorical findings tests, depending on the tests found within the chosen analysis Findings domain.
It contains one or both of the following elements:
A set of Oneway Analyses for Numeric Findings Tests .
Each analysis represents an Analysis of Variance ( ANOVA ) for each numeric Findings test (tests that contain nonmissing values for xxSTRESN ) to compare measurements taken across different treatment arms . You can click the Oneway ANOVA outline box below each plot to show the statistical results of the analysis.
Note that this analysis is across all measurements taken during the study and should be used to get an idea of possibly significant differences in measurements across treatment arms. This is a simple model . You can fit a more appropriate model that accounts for the repeated measures taken for subjects, as well as initial baseline measurements, with the Findings ANOVA report.
See the JMP Fit Y by X platform for more details about Oneway Analysis.
A set of Contingency Analyses for Categorical Findings Tests .
Each analysis represents a contingency analysis for each categorical test (tests that contain nonmissing values for xxSTRESC but are missing values for xxSTRESN ) to compare measurements taken across different treatment arms. A Mosaic Plot shows the proportion of measurements for values of xxSTRESC across treatment arms. You can click the Tests outline box below each plot to display tests for significant differences in the proportion of values across treatment.
See the JMP Fit Y by X platform for more details about Contingency Analysis.
Missing Test Details
Contains tables displaying subject counts for tests that were either not recorded, or that were recorded but have missing measurement values (of xxSTRESN and/or xxSTRESC ).
Note : This section is not shown if all subjects have nonmissing measurements taken for all Findings tests recorded.
It contains the following elements:
A Missing Tests Table.
This table displays subject counts for which Findings tests were either not reported or not recorded. For example, the number of subjects that did not have any record taken for the ALT lab test in the LB domain is displayed in this table for the ALT test row.
A Missing Tests Results Table.
This table displays subject counts for any Findings test was that was recorded, but has a missing measurement value (missing an xxSTRESN value for numeric tests or missing an xxSTRESC for categorical tests). This table differs from the Missing Tests Table in that a record was reported for the test for that subject, but the measurement value was missing.
You can select the numbers in these tables and use the down buttons to scroll down to see profiles or lists of subjects that have missing records or missing measurement values.
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:
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.
Cluster Subjects : Select subjects and click to cluster them using data from available covariates . See Cluster Subjects for additional information.
Demographic Counts : Select subjects and click to create a data set of USUBJID s, which subsets all subsequently run reports to those selected subjects. The currently available filter data set can be applied by selecting Apply Subject Filter in any report dialog .
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.
Report Options
Report Option Descriptions
Specific documentation for each of the options can be viewed by clicking on the following links:
General Options
Findings Domain to Analyze , Findings Domain Tests for Analysis
Treatment or Comparison Variable to Use , Treatment or Comparison Variable
Normalization of Lab Measurements , log Transformation of Lab Measurements
Subject Filter 1
Additional Filters
Additional Filter to Include Subjects 2 , Merge supplemental domain , Include the following findings records: , Additional Filter to Include Findings Tests , Select the population to include in the analysis , By Variables

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 .