195 citations · 380 across the 7 of their papers we have counts for
7 papers
On fixed and uncertain mixture prior weights
Beat Neuenschwander, Simon Wandel, Satrajit Roychoudhury +1
This paper focuses on the specification of the weights for the components of mixture priors.
Why we should respect analysis results as data
Joana M Barros, Lukas A Widmer, Mark Baillie +1
The development and approval of new treatments generates large volumes of results, such as summaries of efficacy and safety. However, it is commonly overlooked that analyzing clini…
The Predictive Individual Effect for Survival Data
Beat Neuenschwander, Satrajit Roychoudhury, Simon Wandel +2
The call for patient-focused drug development is loud and clear, as expressed in the 21st Century Cures Act and in recent guidelines and initiatives of regulatory agencies. Among t…
Model averaging for robust extrapolation in evidence synthesis
Christian Röver, Simon Wandel, Tim Friede
Extrapolation from a source to a target, e.g., from adults to children, is a promising approach to utilizing external information when data are sparse. In the context of meta-analy…
Using phase II data for the analysis of phase III studies: an application in rare diseases
Simon Wandel, Beat Neuenschwander, Tim Friede +1
Clinical research and drug development in orphan diseases is challenging, since large-scale randomized studies are difficult to conduct. Formally synthesizing the evidence is there…
Meta-analysis of two studies in the presence of heterogeneity with applications in rare diseases
Tim Friede, Christian Röver, Simon Wandel +1
Random-effects meta-analyses are used to combine evidence of treatment effects from multiple studies. Since treatment effects may vary across trials due to differences in study cha…
Meta-analysis of few small studies in orphan diseases
Tim Friede, Christian Röver, Simon Wandel +1
Meta-analyses in orphan diseases and small populations generally face particular problems including small numbers of studies, small study sizes, and heterogeneity of results. Howev…