Members
First name: Florence Last name: Loingeville Position: Postdoctoral Researcher Email: florence.loingeville inserm.fr |
Research interest
- Robust design optimisation in nonlinear mixed effects models
- Model based bioequivalence statistical approaches for sparse designs pharmacokinetic studies
Education
Degree
2008-2011: Polytech’Lille – Software engineering and Statistics
Academic positions
2013- 2016: PhD in Biostatistics «Modèle linéaire généralisé hiérarchique Gamma-Poisson pour le contrôle de qualité en microbiologie», sous la direction des Pr Cristian Preda et Julien Jacques, INRIA Lille Nord-Europe, Université des sciences et technologies de Lille 1.
Exhaustive list of publications
2023
Tardivon C, Loingeville F, Donnelly M, Feng K, Sun W, Sun G, Grosser S, Zhao L, Fang L, Mentré F, Bertrand J
Evaluation of model-based bioequivalence approach for single sample pharmacokinetic studies.
CPT: pharmacometrics & systems pharmacology 2023, 12, 904-915.
2022
Möllenhoff K, Loingeville F, Bertrand J, Nguyen TT, Sharan S, Zhao L, Fang L, Sun G, Grosser S, Mentré F, Dette H
Efficient model-based bioequivalence testing.
Biostatistics (Oxford, England) 2022, 23, 314-327.
2020
Loingeville F, Nguyen TT, Riviere MK, Mentré F
Robust designs in longitudinal studies accounting for parameter and model uncertainties - application to count data.
Journal of Biopharmaceutical Statistics 2020, 30, 31-45.
Loingeville F, Bertrand J, Nguyen TT, Sharan S, Feng K, Sun W, Han J, Grosser S, Zhao L, Fang L, Möllenhoff K, Dette H, Mentré F
New Model-Based Bioequivalence Statistical Approaches for Pharmacokinetic Studies with Sparse Sampling.
The AAPS journal 2020, 22, 141.
2016
Marques FJ, Loingeville F
Improved near-exact distributions for the product of independent Generalized Gamma random variables.
Computational Statistics & Data Analysis 2016, 102, 55-66.