Members
![]() | First name: Mélanie Last name: Guhl Position: PhD candidate Email: melanie.guhl inserm.fr |
Research interest
The subject of my PhD is the computation of uncertainty at finite distance in model-based tests of treatment effects on clinical longitudinal data, with an application to the trial Discovery.
Education
Degree
2020: MSc in statistics equivalent (Diplôme d’ingénieur), Ensai, Rennes
Specialisation in biostatistics
Specialisation in biostatistics
Academic positions
2020 – present : PhD in biostatistics and biomathematics supervised by Dr Emmanuelle Comets and Dr Julie Bertrand, funded by Université de Paris, ED393 Pierre Louis de Santé Publique
Exhaustive list of publications
2024
Guhl M, Bertrand J, Fayette L, Mercier F, Comets E
Uncertainty Computation at Finite Distance in Nonlinear Mixed Effects Models-a New Method Based on Metropolis-Hastings Algorithm.
The AAPS journal 2024, 26, 53.
2022
Guhl M, Mercier F, Hofmann C, Sharan S, Donnelly M, Feng K, Sun W, Sun G, Grosser S, Zhao L, Fang L, Mentré F, Comets E, Bertrand J
Impact of model misspecification on model-based tests in PK studies with parallel design: real case and simulation studies.
Journal of Pharmacokinetics and Pharmacodynamics 2022, 49, 557-577.