JMP Clinical Basics | The Pre-Study Variables Report

The Pre-Study Variables Report
An important distinction between JMP and JMP Clinical concerns the types of data sets they can use. JMP can open and use data stored in a variety of formats. By and large, however, data sets for JMP Clinical processes must be SAS data sets conforming to the standards set down by the Clinical Data Interchange Standards Consortium (CDISC).
Variables used by JMP Clinical can be located in either the Subject Level Data Set (ADSL) from ADaM and/or the following SDTM domains: Adverse Events (AE), Comments (CO), Concomitant Medications (CM), Demographics (DM), Disposition (DS), Electrocardiogram (EG), Events, Events_Not_AE, Exposure (EX), Findings, Health-Care Encounters (HO), Inclusion/Exclusion Criterion Not Met (IE), Interventions, Laboratory Test Results (LB), Medical History (MH), Protocol Deviations (DV), Subject Characteristics (SC), Subject Visits (SV), and Vital Signs (VS). All of the data sets must be saved as SAS data sets (.sas7bdat)
The CDISC data sets and variables used by JMP Clinical are described more fully at http://www.cdisc.org.
The following tabbed Results window was generated by running the Pre-Study Variable Report (Documentation and Help > Pre-Study Variable Report). This window is organized into tabs. Each tab contains one or more plots, data panels, data filters, or other elements that facilitate your analysis.
The Results window contains the following panes:
Tab Viewer
This pane provides you with a space to view individual tabs within the Results window. Use the tabs to access and view the output plots and associated data sets.
The following tabs are generated by this process:
Variable Summary: Presents a series of interactive Distributions showing the number of variables used by each report, the number of times ADSL and various SDTM domains are used, the number of times each variable from those domains is used, the number of required versus conditional variables, whether other variables can substitute for the required/conditional variables, and basic explanations of how variables are used.
Usage Components: Presents a series of interactive Distributions that summarize where in the analysis that the variables are used, whether they are required, the dialog options and settings that use the variables.
Drill Down Buttons
Drill down buttons provide you with an easy way to drill down into your data.
The following drill down buttons are generated by this process:
JMP Clinical Variable Report: Generates a PDF listing required/conditional variables used for each option in each report.
General
Click View Data to view the associated data table. Refer to View Data for more information.
Click Create Report to generate a standardized pdf- or rtf-formatted report containing the plots and charts of selected tabs.
Click Close All to close all graphics windows and underlying data sets associated with the output.
The Master Data Table
You can view the master data table upon which all of the distributions are based (shown below) by clicking View Data.
The table below summarizes each of the variables in this data table:
The variable is required (Yes) by the report,
The source table for report variables is report_components. In report_components, each component occupies one row. In report_variables, each variable per component occupies one row. All of these tables can be found in the user's JMPC root.)
Indicates whether the component is (Yes) or is not (No) required or is Conditional.
Variable Summary
The table below summarizes the contents of the distributions shown on the Variable Summary tab:
Provides a list of the data sets (ADSL and the SDTM domains) and the number of times variables contained within those data sets are used by JMP Clinical.
The number of variables that are required (Yes) by one or more reports,
Note: The distributions on this tab are interactive. If you highlight one bar in any distribution, the all of the other bars in all of the distribution might also be highlighted, depending on whether they contain one or more variables represented by the first bar. The relative proportion each subsequent bar is highlighted is dependent on the number of affected variables that it contains. Moreover, the corresponding rows in the master data table above are highlighted. You can generate a subset of the master data table, by double-clicking on the highlighted bar.
You can view The Master Data Table upon which all of the distributions are based by clicking View Data.
Usage Components
This tab presents a series of interactive Distributions that summarize where in the analysis that the variables are used, whether they are required, the dialog options and settings that use the variables.
The table below summarizes the contents of the distributions shown on the Usage Components tab:
The number of variables that are required (Yes) by one or more reports,
Note: The distributions on this tab are interactive. If you highlight one bar in any distribution, the all of the other bars in all of the distribution might also be highlighted, depending on whether they contain one or more variables represented by the first bar. The relative proportion each subsequent bar is highlighted is dependent on the number of affected variables that it contains. Moreover, the corresponding rows in the master data table above are highlighted. You can generate a subset of the master data table, by double-clicking on the highlighted bar.
You can view The Master Data Table upon which all of the distributions are based by clicking View Data.