156 citations · 831 across the 17 of their papers we have counts for
16 papers
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…
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…
Present criteria for prophylactic ICD implantation: Insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project
M. Zabel, S. Schlögl, A. Lubinski +45
BACKGROUND. The clinical effectiveness of primary prevention implantable cardioverter defibrillator (ICD) therapy is under debate. It is urgently needed to better identify patients…
Decline of COPD exacerbations in clinical trials over two decades -- a systematic review and meta-regression
Stefan Andreas, Christian Röver, Judith Heinz +3
BACKGROUND: An important goal of chronic obstructive pulmonary disease (COPD) treatment is to reduce the frequency of exacerbations. Some observations suggest a decline in exacerba…
Recent advances in methodology for clinical trials in small populations: the InSPiRe project
T. Friede, M. Posch, S. Zohar +19
Where there are a limited number of patients, such as in a rare disease, clinical trials in these small populations present several challenges, including statistical issues. This l…
Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?": A Bayesian perspective
Christian Röver, Tim Friede
Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?" by Dan Jackson and Ian R. White (2018; https://doi.org/10.1002/bimj.2018000…