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.
|Data di pubblicazione:||2012|
|Titolo:||The R Package metaLik for Likelihood Inference in Meta-Analysis|
|Rivista:||JOURNAL OF STATISTICAL SOFTWARE|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.18637/jss.v050.i07|
|Appare nelle tipologie:||2.1 Articolo su rivista |