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-analysisdisplays 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.
