Isabelle Clerc-Urmès | Statistical | Best Researcher Award
Dr. Isabelle Clerc-Urmès , Institut national de recherche et de sécurité, France.
Publication profile
Orcid
Scopus
Education
2011: Ph.D. in Economic Sciences, Aix-Marseille University, with honors.
2007: Master in Applied Mathematics, Biostatistics, University Henri Poincaré.
2005: Bachelor’s in Mathematics, University Henri Poincaré.
2004: DEUG MIAS, University Henri Poincaré.
Experience
2022-Present: Lecturer in Statistics, Master’s in Biomechanics.
2021-Present: Statistical Studies Officer, INRS.
2014-2021: Biostatistician, CHRU Nancy, co-developing statistical tools and mentoring.
2013-2014: INSERM Researcher on survival estimation methods.
2008-2011: Lecturer, Aix-Marseille University, teaching mathematics and econometrics.
Suitability For The Award
Professional Development
Awards and Honors
2014: Qualification for Maître de Conférences by the French National University Council (CNU).
2011: Doctoral Thesis with honors and jury commendations at Aix-Marseille University.
2020: Official tenure as Hospital Biostatistician, CHRU Nancy.
Developed statistical tools and packages recognized for innovation in R and STATA.
Contributed to impactful epidemiological and public health studies at INSERM and INRS.
Publications
Isabelle Clerc-Urmès | Statistical | Best Researcher Award
. Her collaboration with INRS and CHRU Nancy strengthened her expertise in survival analysis, multilevel models, and econometrics
. Proficient in software like R, STATA, and SAS, she develops innovative solutions, including statistical packages
. Her commitment to applying rigorous analytical methods contributes significantly to public health and occupational safety fields. 

. Her expertise lies in multilevel modeling, survival analysis, and econometric methods, addressing challenges like healthcare access disparities, disease surveillance, and treatment adherence
. She has contributed to developing innovative tools for data analysis, enhancing predictive modeling capabilities. Isabelle’s interdisciplinary approach integrates advanced statistical methods with applied health research
. Her projects, from modeling antiretroviral treatment compliance to analyzing health behaviors, aim to improve public health policies and interventions, fostering equitable healthcare systems globally