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• The Discrepancy Report - Better than Proc Compare

  • When
    15 Aug 2018
  •  
    11:00 AM
  • Location
    Webinar

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  Are you one of the 80% of SAS Programmers who only use Proc COMPARE's common options to compare datasets and not have another technique to display discrepancies between datasets?  Often there is a need to compare expected differences such as to confirm new patients, new data or updated data.  In addition, Proc COMPARE options to save results in a dataset are cumbersome. Being about to create user-friendly discrepancy dataset and excel files make it much easier to share, review and confirm differences.

  In this unique webinar, I will show you a PROC COMPARE option that make it so much easier to list all variable differences and values by the ID variable.  I am sure you will find a try hidden gem.  In addition, I will introduce a new technique to focus on key variables to create an excel file that can filter patients in one or both datasets as well as have an overall match or non-match flag for key variable differences.

  
  

   

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• CDISC: Creating CodeList Lookup Tables

  • When
    19 Sep 2018
  •  
    11:00 AM
  • Location
    webinar

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  Do you need to review and confirm codelist values for several variables in SDTMs?  Codelists are list of unique values for key variables such as LBTESTCD.  Codelists need to be cross-referenced with control terms.

  I will review SAS code to create a codelist lookup table.

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• Tracking Patient Summary of Response Changes

  • When
    17 Oct 2018
  •  
    11:00 AM
  • Location
    webinar

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  Do you work on oncology studies and need to track changes in response values over time?  Would it not be nice to have a patient summary of each response so that you can monitor changes in response when it happens?

  During this training session, I will show how you can group response and study day to create unique key variables for grouping since grouping by response only will combine separate responses across study day into one response group.  Our objective is to record each block of response over time instead of just grouping all response.

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