Hierarchical Bayesian and meta-analysis
Yong Wang
Ying Zhou
Minghui Zhang
DOI: https://doi.org/10.59429/pmcs.v5i5.976
Keywords: Meta; Bayesian network; Hierarchical linear model; EM algorithm
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.
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