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The R Package metaLik for Likelihood Inference in Meta-Analysis

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  • Guolo, Annamaria
  • Varin, Cristiano

Abstract

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.

Suggested Citation

  • Guolo, Annamaria & Varin, Cristiano, 2012. "The R Package metaLik for Likelihood Inference in Meta-Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i07).
    • Handle: RePEc:jss:jstsof:v:050:i07
    DOI: http://hdl.handle.net/10.18637/jss.v050.i07
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