Antoine Vanier is a MD in Public Health and a PhD in Biostatistics. After being an academic (teaching and research) in Biostatistics and Public Helath in various universities (Nantes Université, Sorbonne Université, University of Tours), he is currently a Scientific Project Manager at the "Haute Autorité de Santé, HAS" (French Health Technology Assessment body in Paris urban area) where he works on methodological guidelines regarding pharmaceutical drugs assessment both at national and european level.
His research within the team is about the interpretation of longitudinal Patient-Reported Outcomes quantitative data: what can be said from an observed change over time in the quantitative measure of a subjective concept such as quality of life, fatigue, depression, anxiety. Especially, his work focuses on response shift phenomenon and Minimal Important Difference. Currently, most of his works rely on developing theoretical frameworks to formally define the aforementioned notions or testing hypotheses about appropriate estimators using monte-carlo simulation studies.
Toward a rigorous assessment of the statistical performances of methods to estimate the Minimal Important Difference of Patient-Reported Outcomes: a protocol for a large-scale simulation study
Vanier A, Leroy M, Hardouin JB
2022 Feb 21;S1046-2023(22)00036-6
The minimal perceived change: a formal model of the responder definition according to the patient's meaning of change for patient-reported outcome data analysis and interpretation
Vanier A, Sébille V, Blanchin M, Hardouin JB
2021 Jun 21;21(1):128.
Response shift in patient‑reported outcomes: definition, theory, and a revised model.
Vanier A, Oort FJ, McClimans L, Ow N, Gulek BG, Böhnke JR, Sprangers MAG, Sébille V, Mayo N, the Response Shift - in Sync Working Group.
Practical issues encountered while determining Minimal Clinically Important Difference in Patient-Reported Outcomes.
Woaye-Hune P, Hardouin JB, Lehur PA, Meurette G, Vanier A.
Materialism, financial motives and gambling: examination of an unexplored relationship.
Eyzop E, Vanier A, Leboucher J, Morvan, H, Poulette M, Grall-Bronnec M, Challet-Bouju G.
Overall performance of Oort’s procedure for response shift detection: a pilot simulation study.
Vanier A, Sébille V, Blanchin M, Guilleux A, Hardouin JB.
I have teached for about 10 years Biostatistics, Epidemiology and methodology for clinical research, Psychometrics and Public Health for various cursus related to healthcare (medicine, pharmacy, parameds) for every level (bachelor, master, PhD students, Healthcare professionnals). Currently, I'm the co-supervisor of an annual seminar for PhD students which is a introduction to the use of Structural Equation Modelling in clinical and epidemiological research in Paris-Saclay University.