AMETA: Stata module to perform alternative and Bayesian meta-analysis

Kalliopi K. Exarchou-Kouveli (), Eleni Nikolaidou (), Panagiota I. Kontou and Pantelis G. Bagos ()
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Kalliopi K. Exarchou-Kouveli: University of Thessaly, Lamia, Greece
Eleni Nikolaidou: University of Thessaly, Lamia, Greece
Panagiota I. Kontou: University of Thessaly, Lamia, Greece
Pantelis G. Bagos: University of Thessaly, Lamia, Greece

Statistical Software Components from Boston College Department of Economics

Abstract: ameta offers a choice of two meta-analysis approaches, an alternative and a bayesian. On the one hand, the alternative method consists of eight different heterogeneity estimators for the calculation of the pooled intervention effect, its std. error and CI, the between-studies variance tau-squared, as well as other heterogeneity measures under a random-effects model and with the assumption that the pooled intervention effect is following a normal distribution. On the other hand, the bayesian method offers three Bayesian meta-analysis models for calculating parameters such as the posterior variance and expected value of mu and posterior variance and expected value of tau-squared of the unknown population parameter theta along with its credible interval. All three models are of the random-effects family so they take into account both the within and between study variation and estimate it. Moreover, since a Bayesian inference is used, we also assign prior probability distribution to the parameter theta and specifically an inverse gamma prior distribution with parameters a and b which are also known as shape and scale parameters of the distribution.

Language: Stata
Requires: Stata version 13.1
Keywords: meta-analysis; Bayesian (search for similar items in EconPapers)
Date: 2022-03-04
Note: This module should be installed from within Stata by typing "ssc install ameta". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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