activity
20182026
most citedRecent advances in methodology for clinical trials in small populations: the InSPiRe project

50 citations · 78 across the 13 of their papers we have counts for

collaborators

14 papers

stat.ME2026

PK/PD-integrated Bayesian platform design for phase II dose regimen optimization

Axel Vuorinen, Antoine Guillon, Emmanuelle Comets +2

Early-phase dose-finding methods increasingly assess toxicity and efficacy jointly, but comparisons based only on administered dose may inadequately characterize regimens differing…

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★ 13 cited

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★ 1 cited

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…

stat.ME2022★ 1 cited

Bayesian Framework for Multi-Source Data Integration -- Application to Human Extrapolation From Preclinical Studies

Sandrine Boulet, Moreno Ursino, Robin Michelet +4

In preclinical investigations, e.g. in in vitro, in vivo and in silico studies, the pharmacokinetic, pharmacodynamic and toxicological characteristics of a drug are evaluated befor…

stat.AP2022

Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

Silvia Calderazzo, Sergey Tarima, Carissa Reid +9

Clinical trials disruption has always represented a non negligible part of the ending of interventional studies. While the SARS-CoV-2 (COVID-19) pandemic has led to an impressive a…

stat.ME2021★ 5 cited

A straightforward meta-analysis approach for oncology phase I dose-finding studies

Christian Röver, Moreno Ursino, Tim Friede +1

Phase I early-phase clinical studies aim at investigating the safety and the underlying dose-toxicity relationship of a drug or combination. While little may still be known about t…

stat.ME2020

Bayesian model for early dose-finding in phase I trials with multiple treatment courses

Moreno Ursino, Lucie Biard, Sylvie Chevret

Dose-finding clinical trials in oncology aim to determine the maximum tolerated dose (MTD) of a new drug, generally defined by the proportion of patients with short-term dose-limit…

stat.ME2020★ 1 cited

Bayesian dose-regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics

Emma Gerard, Sarah Zohar, Hoai-Thu Thai +3

Phase I dose-finding trials in oncology seek to find the maximum tolerated dose (MTD) of a drug under a specific schedule. Evaluating drug-schedules aims at improving treatment saf…

q-bio.QM2019★ 7 cited

Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors

Moreno Ursino, Christian Röver, Sarah Zohar +1

Phase I dose-finding studies aim at identifying the maximal tolerated dose (MTD). It is not uncommon that several dose-finding studies are conducted, although often with some varia…

stat.AP2018★ 50 cited

Recent advances in methodology for clinical trials in small populations: the InSPiRe project

T. Friede, M. Posch, S. Zohar +19

Where there are a limited number of patients, such as in a rare disease, clinical trials in these small populations present several challenges, including statistical issues. This l…