Ask the Expert Webinar Series

How Can the SAS Macro Language Enhance LLM Integration in SAS® 9.4 for Clinical Programming?

June 3 • 10 a.m. ET • Cost: Complimentary

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About the webinar

Clinical programmers in pharmaceuticals and CROs know there’s a lot to navigate, including challenges like debugging code and understanding statistical procedures and clinical endpoints for TFL outputs. 

Understanding how to implement LLMs within SAS 9.4 will be like having a virtual assistant at your fingertips!

Consider this game-changer: The ability to dynamically generate, optimize and automate AI-powered responses within SAS workflows. 

After all, this will enable enhanced productivity and ultimately improved outcomes in clinical programming.

You will learn:

  • How to call and interact with LLMs using PROC HTTP in SAS.
  • How SAS Macro Language can be repurposed to dynamically structure prompts and automate AI-driven responses.
  • Techniques to refine and control LLM responses, ensuring they are relevant and useful for SAS-based workflows.

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About the experts


Stephen McCawille

Statistical Programming Manager, Daiichi-Sankyo

Since 2023, Stephen has been a manager of statistical programming at Daiichi-Sankyo in the health technology assessment and health economics and outcomes research field. With a bachelor’s in psychology and a Master's in Personalised Medicine from Ulster University, he brings eight years of experience, primarily within CROs, specializing in oncology and rare diseases. His expertise spans CDASH-level programming, SDTM programming for submission-ready packages, ADaM dataset programming, macro development and CDISC implementation. Passionate about enhancing and automating clinical trial processes, Stephen is currently pursuing a Master’s in Artificial Intelligence at the University of Bath.

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