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metaconfoundr  

Visualize 'Confounder' Control in Meta-Analyses
View on CRAN: Click here


Download and install metaconfoundr package within the R console
Install from CRAN:
install.packages("metaconfoundr")

Install from Github:
library("remotes")
install_github("cran/metaconfoundr")

Install by package version:
library("remotes")
install_version("metaconfoundr", "0.1.2")



Attach the package and use:
library("metaconfoundr")
Maintained by
Malcolm Barrett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-12
Latest Update: 2023-01-17
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 heat maps, traffic light plots, and more.
How to cite:
Malcolm Barrett (2021). metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses. R package version 0.1.2, https://cran.r-project.org/web/packages/metaconfoundr. Accessed 30 Jan. 2025.
Previous versions and publish date:
0.1.0 (2021-10-12 10:10), 0.1.1 (2022-08-06 16:00)
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Complete documentation for metaconfoundr
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