easymeta
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easymeta

Features

easymeta has been developed with Shiny using the R packages meta and metafor. 

  • Fixed effects model using the inverse variance weight method.
  • Random effects model using DerSimonian and Laird's method.
  • Forest plot shows the effect size and 95% confidence interval for the individual studies and the meta-analysis pooled estimate, and reports heterogeneity statistics (I2 and the Cochrane's Q test p-value for heterogeneity).
  • Funnel-plot and Begg's Rank correlation test of funnel plot asymmetry.
  • Subgroup meta-analysis displays the forest plot for a subgroup analysis defined by a categorical variable.
  • Meta-regression fits a random-effects model from a categorical or continuous covariate, and displays a bubble plot for a continuous covariate.
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