The team is very involved in training the next generation of leaders in epidemiology and statistics.
Our doctoral students benefit from a solid training program with regular meetings with their supervisors, participate in the meetings and activities of the team and in the scientific activities of CRESS (speed meeting, doctoral seminar, peer-review training, etc.).
All of our students publish their thesis work as first author in recognized scientific journals.
Doctoral school
The team is affiliated with the doctoral school "Public Health: Epidemiology and Medical Information Sciences" ED 393 (Université Paris Cité). All the details relating to the application, registration and thesis defense are available on the school's website.
PhDs
You will find below all the theses in progress as well as all the theses successfully defended by the former PhD students of the team.
Using observational data to address issues of causal inference in rare ENT cancers
Florian Chatelet
Promotion : 2022
Supervisor.s : Sylvie Chevret, Benjamin Vérillaud
Epidemiology and methodological approach to infections acquired during extracorporeal cardiopulmonary assistance
Ali Ait Hssain
Promotion : 2021
Supervisor.s : Elie Azoulay, Michael Darmon
Bayesian adaptive scheme for molecule selection studies in haematocancerology
Luana Boumendil
Promotion : 2020
Supervisor.s : Vincent Lévy
Epidemiology of marginal zone lymphoma: evaluation and validation of potential surrogate markers
Côme Bommier
Promotion : 2020
Supervisor.s : Jérôme Lambert, Catherine Thiéblemont
Evaluation of the impact of pre-hospital management of patients in cardiac arrest
Laurianne Michelland
Promotion : 2017
Supervisor.s : Sylvie Chevret
Development and Validation of Clinical Decision Support Tools for Early Treatment of Patients with Sepsis
Alexandre Kalimouttou
Supervisor.s : Matthieu Resche Rigon, Romain Pirrachio
Prevalence of anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitides and the role of the environment in their development
Emma Rubenstein
Supervisor.s : Alfred Marh
Multi-state model integrating molecular data to adapt the therapeutic strategy in T lymphoblastic acute leukaemia.
Loïc Vasseur
Supervisor.s : Jérôme Lambert, Nicolas Boissel
