A benchmark player in life sciences

Data management for clinical reliability
- Anticipate risks of non-compliance or inconsistent data ;
- Ongoing exchange between data managers, ARCs and developers to speed up query resolution;
- Real-time monitoring via dedicated dashboards, offering complete visibility of database progress and quality.
Data biostatistics for decision-making

- Linear and non-linear models, analysis of covariance and variance ;
- Survival analysis (Kaplan-Meier, Cox) and mixed-effects models ;
- Bayesian methods, multiple imputations and intermediate analyses ;
- Meta-analysis methods and exploratory post-hoc analyses.
- Automated TLF production via SAS and R ;
- Interactive dashboards for real-time monitoring of analyses and trends;
- Support for scientific writing (statistical reports, CSR, publications or presentations).

