Solutions/Biometrics & Programming
Biometrics services and statistical programming
Biometrics & Programming
Rigorous evidence starts with rigorous data. Our biometrics and programming services cover statistical programming, CDISC SDTM and ADaM datasets, statistical analysis plans and the tables, listings and figures that bring study results together.

What's included
- Statistical Programming
- CDISC SDTM & ADaM
- Statistical Analysis Plans
- Tables, Listings & Figures
Services
Statistical programming, CDISC SDTM & ADaM, statistical analysis plans and tables, listings & figures.
Statistical Programming
Programming support across the languages and tools used for clinical and real-world analytics, from analysis code to automation and validation.
Capabilities
- SAS Programming
- R Programming
- Python Analytics
- Automation Solutions
- Validation Programming
CDISC SDTM & ADaM
Standards-based dataset development, together with the documentation that accompanies it.
Capabilities
- SDTM Mapping
- SDTM Programming
- ADaM Development
- Define.xml
- Reviewer Guides
Statistical Analysis Plans
Analysis planning that defines endpoints, analysis populations and output specifications.
Capabilities
- SAP Development
- Endpoint Specifications
- Analysis Population Definition
- TLF Specifications
Tables, Listings & Figures
Analysis outputs for efficacy, safety, HEOR, real-world evidence and publication needs.
Outputs
- Efficacy TLFs
- Safety TLFs
- HEOR TLFs
- RWE Outputs
- Publication Tables
Frequently asked questions
Short answers about our Biometrics & Programming work.

What are biometrics services in clinical trials?
The statistical and programming work that turns study data into analysable datasets and reportable results, from SAPs to TLFs.
What is the difference between SDTM and ADaM?
SDTM organises collected trial data in a standard format. ADaM holds the analysis datasets derived from it, with traceability back to SDTM.
What are tables, listings and figures (TLFs)?
The standard outputs that present study results: summary tables, patient listings and graphs, specified in the SAP.
Which programming languages do you use?
SAS, R and Python, with automation and validation programming to keep outputs reproducible.
Do you prepare Define.xml and reviewer guides?
Yes. We deliver Define.xml and reviewer guides alongside SDTM and ADaM datasets.
Let's Build Better Evidence Together
Whether you're preparing for a product launch, generating payer evidence, executing a real-world study, supporting medical affairs, or seeking strategic market insights, Quantify Research can help.
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