2010
DOI: 10.18637/jss.v036.i03
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Conducting Meta-Analyses inRwith themetaforPackage

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 metaanalyses of 2 × 2 table data are also available. Finally, the package provides various… Show more

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Cited by 14,356 publications
(12,051 citation statements)
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References 79 publications
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“…Subgroup analyses also were performed by sex for bone mineral content outcomes, but the number of studies providing sex-specific data for bone area and aBMD were too small to test for sex-specific effects. All meta-analyses were performed using the metafor Package from R Statistical Computing [46,53].…”
Section: Resultsmentioning
confidence: 99%
“…Subgroup analyses also were performed by sex for bone mineral content outcomes, but the number of studies providing sex-specific data for bone area and aBMD were too small to test for sex-specific effects. All meta-analyses were performed using the metafor Package from R Statistical Computing [46,53].…”
Section: Resultsmentioning
confidence: 99%
“…A meta-analysis was conducted over these effect sizes using the rma function in the R package metaphor (Viechtbauer, 2010). We metaanalyzed the estimates across sites by weighting Fisher's r-to-z transformed effect size values by sample size in a random-effects model using the default restricted maximum-likelihood (REML) estimator.…”
Section: Meta-analysesmentioning
confidence: 99%
“…For the statistical analysis, we used R statistical software for Windows [16] and the package 'metaphor' [17]. We classified the studies into two groups: The first group consisted of studies for which outcome was assessed at pre-specified time points (e.g., 3 days after randomization); in the second group, outcome was assessed at different days during a specific time frame (e.g., 7 to 12 days after randomization).…”
Section: Resultsmentioning
confidence: 99%