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] (<https://orcid.org/0000-0003-0299-5825>), Julie M. Petersen [aut] (<https://orcid.org/0000-0001-7845-4545>), Ludovic Trinquart [aut] (<https://orcid.org/0000-0002-3028-4900>)
MaintainerMalcolm Barrett <malcolmbarrett@gmail.com>
LicenseMIT + file LICENSE
Version0.1.0
URL https://github.com/malcolmbarrett/metaconfoundr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("metaconfoundr")

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metaconfoundr documentation built on Oct. 12, 2021, 9:07 a.m.