activity
20192026
most citedIn silico clinical trials in drug development: a systematic review

13 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2026

Communicating results in trials with multiple hypotheses or adaptive design features

Elina Asikanius, Marcel Wolbers, Mouna Akacha +8

Over time, clinical trials have increasingly incorporated complex design and analysis elements such as interim analyses, adaptations, multiple endpoints, and sophisticated multipli…

stat.ME2026

Navigating the Landscape of Hierarchical Multi-Component Strategies: GPC, DOOR, and MOST

Mickaël De Backer, Johan Verbeeck, Vivian Lanius +5

There is a growing recognition of the importance to involve patients in every stage of drug development. This shift acknowledges that patients' perspectives, experiences, and prefe…

stat.ME2026

Clustering-Based Outcome Models for Clinical Studies: A Scoping Review

Johannes Vilsmeier, Fabian Eibensteiner, Franz König +6

This review provides a systematic overview of methods that combine covariate-based clustering of observational units (patients) with outcome models for clinical studies. We disting…

stat.OT2026

Statistical Methodology Groups in the Pharmaceutical Industry

Jenny Devenport, Tobias Mielke, Mouna Akacha +10

Research and Development is the largest budget position in the pharmaceutical industry, with clinical trials being a critical, yet costly and time-consuming component to inform dec…

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★ 3 cited

WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors

Konstantinos Sechidis, Sophie Sun, Yao Chen +8

This paper proposes a Workflow for Assessing Treatment effeCt Heterogeneity (WATCH) in clinical drug development targeted at clinical trial sponsors. WATCH is designed to address t…

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.AP2019

Tutorial: Effective visual communication for the quantitative scientist

Marc Vandemeulebroecke, Mark Baillie, Alison Margolskee +1

Effective visual communication is a core competency for pharmacometricians, statisticians, and more generally any quantitative scientist. It is essential in every step of a quantit…