Hierarchical Bayesian and meta-analysis

Yong Wang, Ying Zhou, Minghui Zhang

Abstract


Meta analysis is a method to extract the data analysis results from previous empirical studies for secondary analysis. It was
fi rst proposed by American educational psychologist Douglas Yu. Since then, the method has been widely used in scientifi c fi elds such as
education, psychology, management and epidemiology. Bayesian network is a directed acyclic graph, and Bayesian probability analysis for
data analysis is the statistical foundation of machine learning.

Keywords


Meta; Bayesian network; Hierarchical linear model; EM algorithm

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References


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DOI: https://doi.org/10.18686/mcs.v5i5.2090

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