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.


Reference manual

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0.1.0 by Malcolm Barrett, 9 days ago

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Browse source code at

Authors: Malcolm Barrett [aut, cre] , Julie M. Petersen [aut] , Ludovic Trinquart [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, ellipsis, forcats, ggplot2, glue, magrittr, purrr, rlang, shiny, stringr, tibble, tidyr, tidyselect

Suggests covr, knitr, metafor, patchwork, readr, rio, rmarkdown, roxygen2, spelling, testthat, vdiffr

See at CRAN