collaborators

12 papers

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

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…

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…