Journal of Statistical Software · 2010 · 17.2K citations · 82 references
The metafor package offers functions for conducting meta‑analyses in R. It includes functions for fitting fixed‑ and random‑effects models, incorporating study‑level moderators, performing meta‑regression with continuous and categorical variables, applying Mantel‑Haenszel and Peto one‑step methods for 2×2 tables, and providing plotting, diagnostics, and publication‑bias tests.
The <b>metafor</b> package provides functions for conducting meta-analyses in <b>R</b>. 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.
82
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 352.8K citations · Full text
Bias in meta-analysis detected by a simple, graphical test
Matthias Egger, George Davey Smith, Martin Schneider et al. · BMJ · 1997 · 54.3K citations · Full text
Meta-analysis in clinical trials
Rebecca DerSimonian, Nan M. Laird · Controlled Clinical Trials · 1986 · 38.5K citations
Meta-analysis, Clinical Trial Management, Clinical Trials +6
Quantifying heterogeneity in a meta‐analysis
Julian P. T. Higgins, Simon G. Thompson · Statistics in Medicine · 2002 · 35.6K citations