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New in JMP Clinical 18

Published on ‎11-07-2024 03:32 PM by Staff | Updated on ‎11-07-2024 05:42 PM

JMP Clinical 18 incorporates performance efficiencies. plus new, updated and re-introduced reporting capabilities. You can suggest changes to JMP Clinical and all JMP products using the Wish List.

 

New in JMP Clinical 18
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    See how to use:

    • Updated Algorithmic FMQ (aFMQ) Risk Report
    • Re-introduced and updated: Risk Based Monitoring reporting and graphs
    • Re-introduced Visit Order Report
    • Re-introduced Patient Recruitment Report
    • New Drug Induced Liver Injury (DILI) Report
      • Comprehensive review of all the clinical trial data related DILI with analysis and plots influenced by FDA guidance documents
    • New Subpopulation Builder
      • Create complex rule/logic-based queries to build sub-populations (patient populations
    • New Clinical Data Mapping Tool
      • Add-in that is automatically registered upon installation and can save steps and results to a  JMP Workflow
    • New  JMP Clinical Recoder
      • Add-in that is automatically registered upon installation and performs a simplified recode capability

    Questions answered by Rebecca Lyzinski @rlyzinski and Chris Kirchberg @Chris_Kirchberg at the live webinar.

     

    Q: Have the Snapshot Reports changed in JMP Clinical 18?

    A: We still do a record-by-record comparisons, display lists of new and modified records, and add a flag list of those to reports.  However, we no longer include a domain view report for comparisons.  See video below.

     

    Snapshot changes in JMP Clinical 18
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      Q: How the Sankey plots are generated, SAS code or JMP Script?

      A: The Sankey plots are generated with a JMP Script.  JMP Clinical is now completely written using JMP instead of SAS.

       

      Q: If I modify the ADSL and add custom variables, will that show up in the list of variables when using the Subpopulation builder?

      A: Any variables in the datasets will appear in the filters as long as they were present when you added or refreshed your study.

       

      Q: Can filtering options be saved and shared?

      A: The filters built using the subpopulation builder can be saved.  Currently, the only way to share the filters are to copy the underlying text file and send it to others.

       

      Q: Can these reports be generated with .sql, .sas, and/or .csv files as well as .jmp files?

      A: JMP Clinical will accept JMP files, SAS files, and transport files for datasets.  So .jmp, .sas7bdat, or .xpt files. We are adding support for JSON files in JMP Clinical 18.1.

       

      Q: Is the subject filter the only one available, can you add filters from other datasets?

      A: You would likely use Subpopulations, filter by that, and then save.

       

      Q: is there a way to create a report comparing Subpopulations?

      A: If you select something, for example from a subpopulation, you can create a population flag, but it is not retained for a new data set.

       

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