Statésia is a research and consulting firm specialized in comparative effectiveness research and efficiency analysis of health products, technologies and strategies.
Our competitive advantage is founded on a strong collaborative action with the Applied Mathematics Research team of the University of Maine (EA 3263).
This decision analysis is founded on:
- Comparative Effectiveness Research, Indirect
and Mixed Treatment Comparisons (MTC) : Positioning your innovative technology in the
studied therapeutic area;
- Interactive Budget Impact Analysis (IBIA) : Assessing the
affordability of your innovative product;
- Markovian and Semi-Markovian Modelling :
Estimating the duration of the Health states;
- High Knowledge of Health Insurance Databases
(ERASME, SNIIRAM, PMSI, EGB) : Cost of disease,
Treatment pathway, pharmacoeconomics.
Our main objectives are:
- That each investment can produce the best outcome for the community;
- Make available to our health partners innovative analysis and modelling techniques;
- Taking part in your market access strategies from the genesis to the communication of results.
our main strengths are:
n Our adaptability to the expectations of our
partners
n Our flexibility and responsiveness
n Our scientific concern
n Our technical skills
n Our network of professionals and experts
(institutional and academic).
The scientific services of Statesia are based on a strong partnership with The Applied Mathematics Research Team of University of Maine (EA 3263). Statesia initiated the training process ASHE (Applied Statistics and Health Economics) based on the Master'Degree Mathematics and Applications.
The new Master SEAS (Applied Statistics and Health Economics) has just begun at the University of Maine. This master is driven by the Statésia team, teacher-researchers at the Mathematics Department and Applications and several professional speakers recognized in their field. It aims to train health economists, statisticians to provide skills in decision-making aid for public and private health systems.
