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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

[1] Shuangli Xu,Zhaohe Lv. Development and application of Meta analysis method in economics [J]. Journal of statistics and information BBS, 2019, 34 (8) : 8.

DOI: CNKI: SUN: TJLT. 0.2019-08-006.

[2] Kuo Liu,Dianqin Sun,Xing Liao, etal. [J]. Chinese Journal of Evidence-based Cardiovascular Medicine, 2019, 11(3):8.

[3] Yonggang Zhang,Letian Yang,Xin Yang, etal. Interpretation of Systematic Review/Meta-Analysis Reporting Standard (PRISMA-DTA) for diagnostic

accuracy tests [J]. Chinese Journal of Evidence-Based Medicine, 2018, 18(9):10.

[4] Tiansong Zhang. Rational use of funnel plot in traditional meta-analysis [J]. Chin J Hospital Statistics, 2023, 30(4):304-308. (in Chinese)

[5] Pengxiang Zhou,Yingying Yan,Suodi Zhai. Methodology and report quality evaluation for systematic evaluation/meta-analysis of hospital pharmaceutical

staff in China [J]. Chinese Journal of Evidence-Based Medicine, 2017, 17(2):7.

[6] Zhuoya Ju,Zhihai Wang. Bayesian Classifi cation Algorithm based on Selective Pattern. Journal of Computer Research and Development, 2020, 57(8):12.

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

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