Etienne
DANTAN
Associate Professor
Subject: Biostatistics, Epidemiology
Biosketch
Associate Professor in Biostatistics at Nantes University since 2011. Education: 2019: HDR, Nantes University 2009: PhD in Biostatistique, Bordeaux 2 University 2006: M.S. in Epidemiology and Biostatistics, Bordeaux 2 University 2005: M.S. in Applied mathematics and Modelling, Bordeaux 2 University My research concerns the development and the use of statistical approaches to study the health state evolution of patients suffering from chronic diseases. It concerns three main themes: i) modeling the natural history of chronic diseases, ii) development on predictive tools and iii) proposing patient-centered approaches for medical decision making. Essentially motivated by clinical research questions in Health, my researches focus on methodological issues from real-life settings.
Key-words
Publications
Dynamic predictions of kidney graft survival in the presence of longitudinal outliers.
Asar Ö, Fournier MC, Dantan E.
2020. doi: 10.1177/0962280220945352.
Dynamic predictions of kidney graft survival in the presence of longitudinal outliers.
Asar Ö, Fournier MC, Dantan E.
2020. doi: 10.1177/0962280220945352.
An R2 -curve for evaluating the accuracy of dynamic predictions.
Fournier MC, Dantan E, Blanche P.
2018 Mar 30;37(7):1125-1133. doi: 10.1002/sim.7571.
Optimal threshold estimator of a prognostic marker by maximizing a time-dependent expected utility function for a patient-centered stratified medicine.
Dantan E, Foucher Y, Lorent M, Giral M, Tessier P.
2018 Jun;27(6):1847-1859. doi: 10.1177/0962280216671161.
A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes.
Fournier MC, Foucher Y, Blanche P, Buron F, Giral M, Dantan E.
2016 May;31(5):469-79. doi: 10.1007/s10654-016-0121-2.
Teachings
M1 Biostatistique/Bioinformatique, Université de Nantes: Usual tests
M2 Modélisation en Pharmacologie Clinique et Epidémiologie, Université de Nantes: Mixed model for longitudinal data
ENSAI, Bruz: Mixed model for longitudinal data
Contact me
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