Abstract
Meta-analysis is a procedure that combines results from studies (or experiments) with a common interest: inferences about an unknown parameter. We present a meta-analytic measure based on a combination of the posterior density functions obtained in each of the studies. Clearly, the point of view is from a Bayesian perspective. The measure preserves both the heterogeneity between and within the studies, and it is assumed that the all of the data from each study are available.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Berry, D.A.: A bayesian approach to multicenter trials and meta-analysis. Tech. Rep. ED325480, National Science Foundation, Washington, (1989)
Janicak, P., Lipinski, J., Davis, J., Coinaty, J., Waternaux, C., Cohen, B., Altman, E., Sharma, R.: S-adenosyl-methionine (same) in depresion: a literature review and preliminary data report. Ala. J. Med. Sci. 25(3), 306–313 (1988)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
B. Martins, C., Pereira, C.A.d.B., Polpo, A. (2018). Bayesian Meta-Analytic Measure. In: Polpo, A., Stern, J., Louzada, F., Izbicki, R., Takada, H. (eds) Bayesian Inference and Maximum Entropy Methods in Science and Engineering. maxent 2017. Springer Proceedings in Mathematics & Statistics, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-91143-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-91143-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91142-7
Online ISBN: 978-3-319-91143-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)