metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses

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 heat maps, traffic light plots, and more.

Package details

AuthorMalcolm Barrett [aut, cre] (<>), Julie M. Petersen [aut] (<>), Ludovic Trinquart [aut] (<>)
MaintainerMalcolm Barrett <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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metaconfoundr documentation built on Jan. 18, 2023, 1:10 a.m.