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These include <jats:styled-content>metan<\/jats:styled-content>, <jats:styled-content>metareg<\/jats:styled-content>, <jats:styled-content>mvmeta<\/jats:styled-content>, and <jats:styled-content>glst<\/jats:styled-content>. However, there are several cases for which these programs do not suffice. For instance, there is no software for performing univariate meta\u2010analysis with correlated estimates, for multilevel or hierarchical meta\u2010analysis, or for meta\u2010analysis of longitudinal data. In this work, we show with practical applications that many disparate models, including but not limited to the ones mentioned earlier, can be fitted using <jats:styled-content>gllamm<\/jats:styled-content>. The software is very versatile and can handle a wide variety of models with applications in a wide range of disciplines. The method presented here takes advantage of these modeling capabilities and makes use of appropriate transformations, based on the Cholesky decomposition of the inverse of the covariance matrix, known as generalized least squares, in order to handle correlated data. The models described earlier can be thought of as special instances of a general linear mixed\u2010model formulation, but to the author's knowledge, a general exposition in order to incorporate all the available models for meta\u2010analysis as special cases and the instructions to fit them in <jats:styled-content>Stata<\/jats:styled-content> has not been presented so far. Source code is available at http:<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.compgen.org\/tools\/gllamm\">www.compgen.org\/tools\/gllamm<\/jats:ext-link>. Copyright \u00a9 2015 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/jrsm.1157","type":"journal-article","created":{"date-parts":[[2015,11,27]],"date-time":"2015-11-27T08:19:51Z","timestamp":1448612391000},"page":"310-332","source":"Crossref","is-referenced-by-count":24,"title":["Meta\u2010analysis in Stata using gllamm"],"prefix":"10.1002","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4935-2325","authenticated-orcid":false,"given":"Pantelis G.","family":"Bagos","sequence":"first","affiliation":[{"name":"Department of Computer Science and Biomedical Informatics University of Thessaly  Papasiopoulou 2\u20104 Lamia 35100 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