195 citations · 399 across the 8 of their papers we have counts for
9 papers
Beyond the classical type I error: Bayesian metrics for Bayesian designs using informative priors
Nicky Best, Maxine Ajimi, Beat Neuenschwander +2
There is growing interest in Bayesian clinical trial designs with informative prior distributions, e.g. for extrapolation of adult data to pediatrics, or use of external controls.…
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.
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…
Beyond p-values: a phase II dual-criterion design with statistical significance and clinical relevance
Satrajit Roychoudhury, Nicolas Scheuer, Beat Neuenschwander
Background: Well-designed phase II trials must have acceptable error rates relative to a pre-specified success criterion, usually a statistically significant p-value. Such standard…
Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint
Satrajit Roychoudhury, Beat Neuenschwander
The recent 21st Century Cures Act propagates innovations to accelerate the discovery, development, and delivery of 21st century cures. It includes the broader application of Bayesi…
Predictively Consistent Prior Effective Sample Sizes
Beat Neuenschwander, Sebastian Weber, Heinz Schmidli +1
Determining the sample size of an experiment can be challenging, even more so when incorporating external information via a prior distribution. Such information is increasingly use…
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…