Clinical data & biostatistics
Data management, clinical data standards, statistical programming and analysis — built to survive scrutiny.
Overview
Data that will survive scrutiny
Clinical data work is judged at the end, by a regulator or a reviewer. It has to be built to survive that moment from the first field captured.
Data management
- Database design
- eCRF design
- Edit checks & validation
- Data cleaning
- Query management
- Database lock
Standards
- CDISC-aligned structures
- SDTM / ADaM concepts
- Controlled terminology
- SNOMED CT · LOINC · ICD
- FHIR-based capture
- Data dictionaries
Biostatistics
- Statistical analysis plans
- Sample size & power
- Statistical programming
- Interim & final analysis
- Tables, listings & figures
- Exploratory modelling
Principle
Structure once, reuse everywhere
Data captured against real terminologies at the point of care does not need to be re-abstracted for research. That single decision removes most of the cost and most of the error from the downstream chain.
Create once. Structure once. Connect everywhere.
Talk to our data team.
Study database, statistical plan, or a dataset that needs to be made analysable.