activity
20222026
collaborators

8 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

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.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

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…

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.ME2022

Using meta-analytic priors to incorporate external information for study evaluation

Thilo Welz, Eric Knop, Frank Konietschke +3

Background: The COVID-19 pandemic has had a profound impact on health, everyday life and economics around the world. An important complication that can arise in connection with a C…