Bayesian Meta-Analytic Measure

Camila B. Martins, Carlos A.de B. Pereira, Adriano Polpo

Research output: Chapter in Book/Conference paperConference paper

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.

Original languageEnglish
Title of host publicationBayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 37, 2017
EditorsAdriano Polpo, Julio Stern, Francisco Louzada, Rafael Izbicki, Hellinton Takada
PublisherSpringer
Pages37-42
Number of pages6
Volume239
ISBN (Electronic)978-3-319-91143-4
ISBN (Print)9783319911427
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2017 - Paradies Resort Hotel, Jarinu, Brazil
Duration: 9 Jul 201714 Jul 2017
http://inspirehep.net/record/1642773

Conference

Conference37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2017
Abbreviated titleMaxEnt 2017
CountryBrazil
CityJarinu
Period9/07/1714/07/17
Internet address

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