activity
20242026
collaborators

6 papers

stat.ME2026

Conditional bootstrap for non-linear mixed effects models

Sofia Kaisaridi, Moreno Ursino, Emmanuelle Comets

Background and Objective: Uncertainty in non-linear mixed effect models is often assessed using the Fisher information matrix to derive the standard errors of estimation. The boots…

stat.ML2026

Latent Neural-ODE for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics

Benjamin Maurel, Agathe Guilloux, Sarah Zohar +2

Accurate estimation of tacrolimus exposure, quantified by the area under the concentration-time curve (AUC), is essential for precision dosing after renal transplantation. Current…

stat.ME2025

Sample size reassessment in Bayesian hybrid clinical trials

Marco Ratta, Pavel Mozgunov, Sandrine Boulet +1

The use of historical controls offers a valuable alternative when traditional randomized controlled trials are not feasible. However, such approaches may introduce bias due to temp…

stat.ME2025

U-DESPE: a Bayesian Utility-based methodology for dosing regimen optimization in early-phase oncology trials based on Dose-Exposure, Safety, Pharmacodynamics, Efficacy

Anaïs Andrillon, Sandrine Micallef, Moreno Ursino +2

With the development of novel therapies such as molecularly targeted agents and immunotherapy, the maximum tolerated dose paradigm that "more is better" does not necessarily hold a…

q-bio.QM2025

In silico clinical trials in drug development: a systematic review

Bohua Chen, Lucia Chantal Schneider, Christian Röver +15

In the context of clinical research, computational models have received increasing attention over the past decades. In this systematic review, we aimed to provide an overview of th…

stat.AP2024

Straightforward Phase I Dose-Finding Design for Healthy Volunteers Accounting for Surrogate Activity Biomarkers

Sandrine Boulet, Emmanuelle Comets, Antoine Guillon +5

Conventionally, a first-in-human phase I trial in healthy volunteers aims to confirm the safety of a drug in humans. In such situations, volunteers should not suffer from any safet…