487 citations · 2k across the 58 of their papers we have counts for
62 papers
Investigating the heterogeneity of "study twins"
Christian Röver, Tim Friede
Meta-analyses are commonly performed based on random-effects models, while in certain cases one might also argue in favour of a common-effect model. One such case may be given by t…
How trace plots help interpret meta-analysis results
Christian Röver, David Rindskopf, Tim Friede
The trace plot is seldom used in meta-analysis, yet it is a very informative plot. In this article we define and illustrate what the trace plot is, and discuss why it is important.…
Methods for non-proportional hazards in clinical trials: A systematic review
Maximilian Bardo, Cynthia Huber, Norbert Benda +13
For the analysis of time-to-event data, frequently used methods such as the log-rank test or the Cox proportional hazards model are based on the proportional hazards assumption, wh…
The impact of neglected confounding and interactions in mixed-effects meta-regression
Eric S. Knop, Markus Pauly, Tim Friede +1
Analysts seldom include interaction terms in meta-regression model, what can introduce bias if an interaction is present. We illustrate this in the current paper by re-analyzing an…
Accounting for Time Dependency in Meta-Analyses of Concordance Probability Estimates
Matthias Schmid, Tim Friede, Nadja Klein +1
Recent years have seen the development of many novel scoring tools for disease prognosis and prediction. To become accepted for use in clinical applications, these tools have to be…
Using the bayesmeta R package for Bayesian random-effects meta-regression
Christian Röver, Tim Friede
BACKGROUND: Random-effects meta-analysis within a hierarchical normal modeling framework is commonly implemented in a wide range of evidence synthesis applications. More general pr…