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

13 citations · 15 across the 12 of their papers we have counts for

collaborators

14 papers

stat.AP2026

Trial design considerations in the face of overdispersion and time-varying event rates: a meta-regression approach with an application in asthma

Bohua Chen, Christian Röver, Stefan Andreas +2

**Purpose:** Relative changes in event rates are a common primary endpoint in confirmatory asthma trials. Reliable assumptions about baseline event rates and extra-Poisson variabil…

stat.ME2026

Discussion on "Principled type I error rate inflation in two-arm clinical trial designs with external control information borrowing" by Silvia Calderazzo, Manuel Wiesenfarth, Vivienn Weru, and Annette Kopp-Schneider

Tim Friede, Christian Röver

Consideration of frequentist type-I error or power based on certain fixed conditions may not fully embrace the aims of a Bayesian analysis; this is particularly true in settings wh…

stat.ME2026

Empirical prior distributions for treatment-by-subgroup interaction heterogeneity in random-effects meta-analysis

Renato Panaro, Christian Röver, Tim Friede

Subgroup analyses are central to the assessment of benefits and risks, where recommendations may depend on evidence that treatment effects differ across patient groups. Valid subgr…

stat.ME2026

Subgroup analysis in randomized controlled trials with binary outcomes: dilution and logic-respecting properties

Long-Hao Xu, Yang Han, Tim Friede

Subgroup analysis is routinely used in randomized controlled trials to examine whether treatment effects are homogeneous across patient subgroups or differ because of treatment-eff…

stat.ME2026

Including historical control data in simultaneous inference for pre-clinical multi-arm studies

Max Menssen, Carsten Kneuer, Gyamfi Akyianu +3

In pre- and non-clinical toxicology, the reduction of animal use is highly desireable. Although approaches for possible sample size reduction in the concurrent control group were s…

stat.ME2026

Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation

Hirotada Maeda, Satoshi Hattori, Tim Friede

For randomized controlled trials to be conclusive, it is important to set the target sample size accurately at the design stage. Comparing two normal populations, the sample size c…

stat.ME2025

Consistent Bayesian meta-analysis on subgroup specific effects and interactions

Renato Panaro, Christian Röver, Tim Friede

Commonly, clinical trials report effects not only for the full study population but also for patient subgroups. Meta-analyses of subgroup-specific effects and treatment-by-subgroup…

stat.ME2025★ 1 cited

Utilizing subgroup information in random-effects meta-analysis of few studies

Ao Huang, Christian Röver, Tim Friede

Random-effects meta-analyses are widely used for evidence synthesis in medical research. However, conventional methods based on large-sample approximations often exhibit poor perfo…

stat.ME2025

Subgroup comparisons within and across studies in meta-analysis

Renato Panaro, Christian Röver, Tim Friede

Subgroup-specific meta-analysis synthesizes treatment effects for patient subgroups across randomized trials. Methods include joint or separate modeling of subgroup effects and tre…

math.ST2025

A note on blinded continuous monitoring for continuous outcomes

Long-Hao Xu, Tim Friede

Continuous monitoring is becoming more popular due to its significant benefits, including reducing sample sizes and reaching earlier conclusions. In general, it involves monitoring…

stat.ME2025

A studentized permutation test for the treatment effect in individual participant data meta-analysis

Phuc Thien Tran, Long-Hao Xu, Christian Röver +1

Meta-analysis is a well-established tool used to combine data from several independent studies, each of which usually compares the effect of an experimental treatment with a contro…

stat.ME2025

Meta-analytic-predictive priors based on a single study

Christian Röver, Tim Friede

Meta-analytic-predictive (MAP) priors have been proposed as a generic approach to deriving informative prior distributions, where external empirical data are processed to learn abo…

stat.ME2025★ 1 cited

Bayesian random-effects meta-analysis of aggregate data on clinical events

Christian Röver, Qiong Wu, Anja Loos +1

To investigate intervention effects on rare events, meta-analysis techniques are commonly applied in order to assess the accumulated evidence. When it comes to adverse effects in c…

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…