Our biostatistical programming services support:
- Pharmaceutical and biotechnology companies
- Clinical Research Organizations (CROs)
- Academic and research institutions
- Healthcare organizations
- Regulatory and government bodies
We use industry-standard platforms, including:
- SAS® (primary tool for clinical trial programming)
- R / R Studio for advanced statistical methods
- Python for automation and analytics
- SPSS, STATA for specific research and analysis needs
Depending on project requirements, we provide:
- SDTM and ADaM datasets
- Tables, Listings, and Figures (TLFs)
- Statistical Analysis Plans (SAPs)
- Programming validation reports
- Submission-ready datasets, documentation, and reports
Yes. Our biostatistical programming strictly adheres to:
- ICH E9 – Statistical Principles for Clinical Trials
- CDISC standards – SDTM and ADaM dataset creation
- FDA and EMA submission requirements
- 21 CFR Part 11 for data handling and programming













