The R Package metaLik for Likelihood Inference in Meta-Analysis. Meta-analysis is a statistical method for combining information from different studies about the same issue of interest. Meta-analysis is widely diffuse in medical investigation and more recently it received a growing interest also in social disciplines. Typical applications involve a small number of studies, thus making ordinary inferential methods based on first-order asymptotics unreliable. More accurate results can be obtained by exploiting the theory of higher-order asymptotics. This paper describes the metaLik package which provides an R implementation of higher-order likelihood methods in meta-analysis. The extension to meta-regression is included. Two real data examples are used to illustrate the capabilities of the package.

This software is also peer reviewed by journal JSS.

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References in zbMATH (referenced in 1 article )

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  1. Bellio, Ruggero; Guolo, Annamaria: Integrated likelihood inference in small sample meta-analysis for continuous outcomes (2016)