ESMARConf2022 Special Session 6: Quantitative synthesis with a Bayesian lens - Christian Röver
Channel: ESMARConf
Date: 23/02/2022

Presenter: Christian Röver
Session: Special Session 6: Quantitative synthesis with a Bayesian lens
Title: Using the bayesmeta R package for Bayesian random-effects meta-regression
Abstract: The bayesmeta R package facilitates Bayesian meta-analysis within the simple normal-normal hierarchical model (NNHM). Using the same numerical approach, we extended the bayesmeta package to include several covariables instead of only a single "overall mean" parameter. We demonstrate the use of the package for several meta-regression applications, including modifications of regressor matrix and prior settings to implement model variations. Possible applications include consideration of continuous covariables, comparison of study subgroups, and network-meta-analysis.

Please cite as: Röver, Christian (2022). Using the bayesmeta R package for Bayesian random-effects meta-regression. ESMARConf2022 conference presentation. Zenodo. https://doi.org/10.5281/zenodo.6045698