Clinical SAS Programming Course
4.7/5
This course equips learners with vital clinical SAS programming skills for healthcare analytics. Participants will construct ADSL and ADLB datasets, implement CDISC ADaM and SDTM standards, compute HbA1c change-from-baseline metrics, develop validated analysis tables, and maintain traceability and quality to meet regulatory requirements for clinical trials.

4.7 in rating
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain mastery in core clinical SAS programming through hands-on training focused on creating ADSL and ADLB datasets, calculating HbA1c change-from-baseline, and using CDISC ADaM and SDTM principles. Cover visit windows, baseline definitions, analysis flags, validation techniques, traceability methods, and table shell creation with SAS pseudocode for producing dependable, submission-ready outputs confidently.
Elevify advantages
Develop skills
- Build ADaM ADSL and ADLB datasets by cleaning, merging, and flagging clinical trial data efficiently.
- Program HbA1c change-from-baseline derivations in SAS, including CHG, PCHG, baselines, and visit windows.
- Design SDTM-like structures for DM, EX, and LB domains to ensure traceable clinical data flows.
- Create validated Week 12 HbA1c analysis tables with ITT rules, statistics, layout, and precision.
- Apply clinical SAS quality control through double programming, edit checks, and audit-ready logs.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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