5 papers
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…
Using meta-analytic priors to incorporate external information for study evaluation
Thilo Welz, Eric Knop, Frank Konietschke +3
Background: The COVID-19 pandemic has had a profound impact on health, everyday life and economics around the world. An important complication that can arise in connection with a C…
Cluster-Robust Estimators for Bivariate Mixed-Effects Meta-Regression
Thilo Welz, Wolfgang Viechtbauer, Markus Pauly
Meta-analyses frequently include trials that report multiple effect sizes based on a common set of study participants. These effect sizes will generally be correlated. Cluster-robu…
Robust Confidence Intervals for Meta-Regression with Interaction Effects
Thilo Welz, Eric S. Knop, Tim Friede +1
Meta-analysis is an important statistical technique for synthesizing the results of multiple studies regarding the same or closely related research question. So-called meta-regress…
Fisher transformation based Confidence Intervals of Correlations in Fixed- and Random-Effects Meta-Analysis
Thilo Welz, Philipp Doebler, Markus Pauly
Meta-analyses of correlation coefficients are an important technique to integrate results from many cross-sectional and longitudinal research designs. Uncertainty in pooled estimat…