Our strength: a team of qualified and experienced data scientists and data managers who can support your projects and offer rigorous, innovative methodologies.
Whether your objectives involve modelling care pathways, estimating target populations, conducting survival analyses with competing risks, comparing effectiveness, or estimating unit costs or annual costs of care, our expertise in real-world studies enables us to help you achieve them. We work with data from the SNDS (French National Health Data System: DCIR, ESND, PMSI), clinical trials, registries, health observatories and connected devices.
CEMKA’s Biostatistics / Database Analysis / SNDS team offers:
- Over 20 years of experience analysing administrative healthcare data from the SNDS (PMSI, DCIR, ESND, CépiDC), providing us with in-depth knowledge of these complex databases:
- Developing and validating algorithms
- Identifying diagnostic odysseys
- Modelling care trajectories
- Direct or indirect record linkage
- Identifying target populations
- Estimating unit costs and costs of care
- Conducting sensitivity analyses
- Providing training and staying informed: keeping up with changes in data access, coding nuances and the development of new algorithms, and maintaining regular dialogue with Assurance Maladie (France’s national health insurance system) or the Health Data Hub are central to how we work and a priority for our team. CEMKA therefore actively participates in knowledge-sharing events and regularly provides training on these topics.
- Expertise in innovative statistical methodologies, grounded in our academic and professional experience and our commitment to exploring the latest methods: neural networks, machine learning, clustering, survival analysis with latent variables, mixed-effects models, high-dimensional propensity scores, meta-analysis and indirect comparisons.
- Expertise in data visualisation and mapping to:
- Present data clearly and concisely
- Understand geographical trends and dynamics, identify catchment areas and support decision-making
- Rigorous scientific writing for protocols, statistical analysis plans, regulatory dossiers, study reports, abstracts and posters.
Key points
- Asking the right questions to interpret results.
- Adapting the analysis strategy when necessary.
- Combining evidence from literature reviews with analytical findings to ensure external validity.
- Facilitating discussions with scientific committee experts and developing the most appropriate communication strategy.
At every stage of your project, we are here to advise you.
