Heterogeneity is usually dealt withīy employing the random effects (RE) model. There are two main issues with meta-analysis: heterogeneity between studies, and publication bias. It produces a weighted average of the included studies results. Meta-analysis is a statistical method to combine the results of epidemiological studies in order to increase power.
Now version 5Īdds cumulative meta-analysis to this already rich list of features Version 2 the inverse variance heterogeneity (IVhet) model, version 3 introduced the Doi plot and LFK index for the detection of publication bias, version 4 added network meta-analysis. Version 1 introduced the quality effects (QE) model, MetaXL keeps pushing the envelope of innovation in meta-analysis.
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