A leading player in Life Sciences

Data management for clinical reliability
- Anticipation of risks of non-compliance or data inconsistency;
- Ongoing communication between data managers, ARC, and sponsors to speed up the resolution of queries;
- Real-time monitoring via dedicated dashboards, providing complete visibility on the progress and quality of the database.
Biostatistics of data for decision-making

- Linear and nonlinear models, covariance and variance analysis;
- Survival analysis (Kaplan-Meier, Cox) and mixed effects models;
- Bayesian methods, multiple imputations, and interim analyses;
- Meta-analysis methods and exploratory post-hoc analyses.
- Automated production of TLFs via SAS and R;
- Design of interactive dashboards for real-time monitoring of analyses and trends;
- Support for scientific writing (statistical reports, CSRs, publications, or presentations).