![]() ![]() Conducting Meta-Analyses in R with the metafor Package. 'Im a graduate student at NC State University, and recently I tried out CMA for my lab. The program combines ease of use with a wide array of computational options and sophisticated graphics. If studies used multiple symptom measures, these outcomes were pooled within studies, 33 except for a sensitivity analysis that included 1 outcome measure (based on a frequency ranking). Comprehensive Meta-Analysis (CMA) is a powerful computer program for meta-analysis. I used this platform to learn the basics of R before using Metafor. Comprehensive Meta-analysis software, version 3 (Biostat) 32 was used to calculate the pooled effect sizes separately for each disorder. ![]() If you are new to R, I suggest taking the Introduction to R course on DataCamp (affiliate link). If so – have a look at JASP or Jamovi below. However, since the package requires the use of the R environment, it may be difficult for those who have never used R before to become accustomed to the package so quickly. Their website contains some very useful analysis and plot examples with the corresponding code. Metafor is one of the many R packages available to conduct meta-analyses and contains the most comprehensive analysis tools. Example forest plot created using Metafor in R. ![]()
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