output
20072026
most citedImproving basic and translational science by accounting for litter-to-litter variation in animal models

240 citations

Showing 2016 · stat.MEShow all

5 papers · 2 filters

stat.ME2016★ 15 cited

Optimal exact tests for multiple binary endpoints

Robin Ristl, Dong Xi, Ekkehard Glimm +1

In confirmatory clinical trials with small sample sizes, hypothesis tests based on asymptotic distributions are often not valid and exact non-parametric procedures are applied inst…

stat.ME2016★ 16 cited

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…

stat.ME2016★ 128 cited

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…

stat.ME2016★ 21 cited

On weighted parametric tests

Dong Xi, Ekkehard Glimm, Willi Maurer +1

We describe a general framework for weighted parametric multiple test procedures based on the closure principle. We utilize general weighting strategies that can reflect complex st…

stat.ME2016★ 195 cited

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…