
WVIECHTB . GITHUB . IO {
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Title:
Meta-Analysis Package for R • metafor
Description:
A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, LAbbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Petos method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. An introduction to the package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.
Website Age:
12 years and 3 months (reg. 2013-03-08).
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Keywords {🔍}
package, random, metafor, model, systematic, functions, tau, heterogeneity, mixedeffects, year, comstock, variability, test, plot, metaanalyses, models, funnel, website, development, documentation, tneg, cpos, cneg, ablat, alternate, pval, sampling, viechtbauer, version, author, tpos, aronson, rosenthal, number, cases, group, control, res, estimated, total, description, metaregression, plots, methods, method, regression, links, alloc, treated, study,
Topics {✒️}
mixed-effects logistic mixed-effects models funnel plot asymmetry study location meta-regression analyses ci=cpos poisson regression models independent sampling errors conducting meta-analyses network meta-analyses meta-analyses accounting suitable generalized linear good starting place 95% confidence/prediction intervals prediction interval labeled ai=tpos metafor package website bi=tneg di=cneg meta-analytical plots tb positive cases tb negative cases author person-time data mantel-haenszel method multiple treatment studies functions provide links entire documentation online package includes functions mixed-effects implement specialized methods meta-analysis package package intro data=dat tpos year ablat tneg cpos cneg wolfgang viechtbauer random random bcg yi vi meta-analyses fit equal total heterogeneity package website
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