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For the
last 4 years, 3Es is responsible for studies that, from a quantitative
standing, are more and more important. Use of our in-house software INES
allows us to manage :
- European studies including hundreds of centres
- Monocentre or multlicentre phase I, II and III clinical trials including
thousands of controlled variables.
Our choice
to actively support and participate in the evolution of clinical research
practice has positioned us as one of the leaders in clinical research
via Internet today. The quality of the services we provide requisite that
we recruit collaborators having succeeded a 5 year university course program
for the positions of Data Manager, Computer engineer, and Bio Statistician.
Since the
founding, the company’s constant development has been completely
self financed. The planned growth of 3Es, the doubling of the
annual turnover and human resources every year since the creation
of the company has allowed us to obtain our objectives of further developing
clinical research via Internet..

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Medical Doctor – Physician Doctor
- specialist in Public Health - Epidemiologist
Docteur es science de l'Université Paris XI en Santé
Publique - Epidémiologie .
Following
a medical specialisation in public health and statistics,
the 5 years spent in the Epidemiology research department
with INSERM allowed me to acquire the knowledge and rigor
necessary for study management in the domain of chronic pathologies.
Specialised in data collection and methodology for cohort
studies, my action these last 4 years in the company has allowed
3Es to apply and develop specific questions adapted to our
partner’s precise objectives.
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University degree in Computer systems
Technical
Manager for a software editor specialised in electronic document
management for 10 years, then Head of the Information Systems department
for an international SSII. My experience in information management technologies
applied to the specificities of clinical research allowed a new approach in
INES software conception based on workflow engine for data management and validation process.
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Doctorat en Biostatistiques et Epidémiologie - Université Bordeaux2
DEA Epidemiologie et Biostatistique de l'Université Bordeaux 2
DEA Analyse Démographique de l'Université Bordeaux IV
Après une double formation en Statistiques appliquées à la Recherche Clinique et appliquées à la Démographie et Econométrie, mes quatre années de recherche et d'enseignement statistique m'ont permis d'acquérir les connaissances opérationnelles et les contraintes liées au milieu de recherche clinique. Mes spécialisations dans les modèles non linéaires à effets aléatoires et dans les plans d'expérience trouvent toute leur place auprès d'études de recherche clinique de phase I (notamment PK/PD) et de phase II (plans d'échantillonnage / Gehan/Simon/Fleming). Une approche rigoureuse et maîtrisée des méthodes bayésiennes permettent également un développement de méthodes innovantes dans les études de phases II et III (CRM, rééchantillonnage, Bootstrap et Jacknife).
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