Processes | Clinical | Check Required Variables

Check Required Variables
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)1.
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 Check Required Variables process checks SAS data sets in the SDTM and ADaM folders that have been specified for the selected study, for all variables required for various JMP Clinical analytical processes.
Note: Labels are not required but are recommended for consistency with CDISC standards.
What do I need?
This process requires the subject level analysis data set (ADSL) included in the Analysis Data Model (ADaM) and domain data sets from the Study Data Tabulation Model (SDTM, v3.1.1). SDTM domains include Adverse Events (AE), Concomitant Medications, (CM), Demographics (DM), Disposition (DS), ECG Test Results (EG), Exposure (EX), Laboratory Test Results (LB), Medical History (MH), and Vital Signs (VS).
The output of the Check Required Variables process includes one or two tables and a data filter. Refer to the Check Required Variables output documentation for detailed descriptions and guides to interpreting your results.

The CDISC data sets and variables used by JMP Clinical are described more fully at