metaconfoundr-package: metaconfoundr: Visualize Confounder Control in Meta-Analyses

In metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses

metaconfoundr: Visualize Confounder Control in Meta-Analyses

Description

Visualize confounder control in meta-analysis. 'metaconfoundr' is an approach to evaluating bias in studies used in meta-analyses based on the causal inference framework. Study groups create a causal diagram displaying their assumptions about the scientific question. From this, they develop a list of important confounders. Then, they evaluate whether studies controlled for these variables well. 'metaconfoundr' is a toolkit to facilitate this process and visualize the results as heatmaps, traffic light plots, and more.

Author(s)

Maintainer: Malcolm Barrett [e-mail] (ORCID)

Authors:

• Julie M. Petersen [e-mail] (ORCID)

• Ludovic Trinquart [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/malcolmbarrett/metaconfoundr

• Report bugs at https://github.com/malcolmbarrett/metaconfoundr/issues

metaconfoundr documentation built on Jan. 18, 2023, 1:10 a.m.