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.
CDISC SDTM & ADaM Dataset Programming
We prepare data structures that allow results to be traced to their sources and derivation rules. Mapping, programming and review of existing datasets are distinguished in the scope.
What is included
- Inventory sources, map variables and specify agreed standards and sponsor conventions.
- Programme and review SDTM/ADaM transformations and analysis-ready datasets in SAS or R.
- QC derivations, metadata, cross-dataset consistency and alignment with the SAP and outputs.
What you receive
- Versioned datasets and specifications.
- Code, derivation rules and traceability documentation.
- QC report with discrepancies and resolution status.
Frequently asked questions
Can you work with academic or legacy databases?
Yes. We first assess whether the sources support the required structures, document gaps and agree mappings before transformation.
Related services
SAS–R Modernisation & Programming Libraries
Modernise SAS macros and R workflows with reusable functions, TLF templates, QC automation, documentation and equivalence checks.
Discuss your project
Describe the objective, study stage and deadline. We will confirm fit, deliverables, timing and a quote based on complexity and data quality.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project