Abstract
The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models. Meta-regression analyses with continuous and categorical moderators can be conducted in this way. Functions for the Mantel-Haenszel and Peto's one-step method for meta-analyses of 2 x 2 table data are also available. Finally, the package provides various plot functions (for example, for forest, funnel, and radial plots) and functions for assessing the model fit, for obtaining case diagnostics, and for tests of publication bias.
Keywords
CovariateR packageCategorical variableStatisticsFunnel plotMathematicsRandom effects modelPlot (graphics)Meta-analysisComputer scienceEconometricsPublication biasConfidence intervalMedicine
Affiliated Institutions
Related Publications
How to perform a meta-analysis with R: a practical tutorial
Objective Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over th...
Doing Meta-Analysis with R
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, incl...
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials
Funnel plots, and tests for funnel plot asymmetry, have been widely used to examine bias in the results of meta-analyses. Funnel plot asymmetry should not be equated with public...
Assessing Publication Bias in Meta-Analyses in the Presence of Between-Study Heterogeneity
Summary Between-study heterogeneity and publication bias are common features of a meta-analysis that can be present simultaneously. When both are suspected, consideration must b...
Modelling multiple sources of dissemination bias in meta‐analysis
Abstract Asymmetry in the funnel plot for a meta‐analysis suggests the presence of dissemination bias. This may be caused by publication bias through the decisions of journal ed...
Publication Info
- Year
- 2010
- Type
- article
- Volume
- 36
- Issue
- 3
- Citations
- 16498
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
16498
OpenAlex
Cite This
Wolfgang Viechtbauer
(2010).
Conducting Meta-Analyses in<i>R</i>with the<b>metafor</b>Package.
Journal of Statistical Software
, 36
(3)
.
https://doi.org/10.18637/jss.v036.i03
Identifiers
- DOI
- 10.18637/jss.v036.i03