CDISC SDTM & ADaM Dataset Programming
SDTM and ADaM preparation, transformation and review: mapping, derivations, metadata, QC and traceability between source data, SAP and outputs.
SAS–R Modernisation & Programming Libraries
We improve legacy processes while preserving statistical rules that must remain stable. An inventory and reference outputs distinguish technical refactoring from analytical change.
What you receive
- Documented reusable functions, macros or library.
- Comparison evidence against reference outputs.
- Adoption, maintenance and team handover plan.
What is included
- Review macros, repeated programs, dependencies and delivery conventions.
- Convert or modularise SAS/R workflows, utilities and reporting templates.
- Compare datasets and outputs with documented tolerances and discrepancy resolution.
Frequently asked questions
Must SAS be replaced with R?
No. SAS can be improved, R introduced into one part of the workflow or both retained. Team needs and validation requirements guide the decision.
Analysis and reporting automation
Related services
SAS & R Statistical Programming and TLF Delivery
Clinical trial tables, listings and figures with production and QC in SAS and R: shells, derivations, safety, efficacy, interim and final reporting.
Discuss your project
Tell us about the objective, study stage and deadline. We review the need and availability; we then define the scope with you and prepare a proposal with deliverables, timing and fees.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project