collaborators

6 papers

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

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…