방법 비교

	교육 연구에서의 베이지안 후성유전체 전장 연관성 분석	매개 분석
분야	생물정보학	통계학
계열	Process / pipeline	Hypothesis test
기원 연도	EWAS framework ~2010–2011; Bayesian EWAS variants ~2013–2017; educational applications ~2015–present	1986
창시자	Rakyan, Down, Balding, and Beck (conceptual EWAS framework); Bayesian extensions by multiple groups including Teschendorff and colleagues	Baron & Kenny
유형	Genomic association study with Bayesian inference	Indirect effects / path test
원전	Rakyan, V. K., Down, T. A., Balding, D. J., & Beck, S. (2011). Epigenome-wide association studies for common human diseases. Nature Reviews Genetics, 12(8), 529–541.	Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182.
별칭	Bayesian EWAS, Bayesian epigenome-wide scan, Bayesian methylation-wide association study, B-EWAS	indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS)
관련	3	5
요약	A Bayesian epigenome-wide association study (Bayesian EWAS) scans hundreds of thousands of DNA methylation sites across the genome to identify those statistically associated with an educational outcome — such as cognitive ability, attainment, or socioeconomic exposure during schooling. Unlike classical frequentist EWAS, the Bayesian framework incorporates prior biological knowledge to compute posterior probabilities of association, improving power and reducing false discoveries when applied to complex educational phenotypes.	Mediation analysis is a statistical procedure that tests whether the effect of an independent variable X on an outcome Y operates wholly or partly through a third variable M, called the mediator. Formalised by Baron and Kenny in 1986, it decomposes the total effect of X on Y into a direct path (c′) and an indirect path (a × b), quantifying how much of the relationship is carried by the mediating mechanism.