Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Malcolm 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>) |
| Maintainer | Malcolm Barrett <malcolmbarrett@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://github.com/malcolmbarrett/metaconfoundr |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the metaconfoundr package in your browser
Any scripts or data that you put into this service are public.
