Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Bayesiaanse Epigenoom-Brede Associatiestudie in Onderwijsonderzoek× | Mediatiemanalyse× | |
|---|---|---|
| Vakgebied≠ | Bio-informatica | Statistiek |
| Familie≠ | Process / pipeline | Hypothesis test |
| Jaar van ontstaan≠ | EWAS framework ~2010–2011; Bayesian EWAS variants ~2013–2017; educational applications ~2015–present | 1986 |
| Grondlegger≠ | Rakyan, Down, Balding, and Beck (conceptual EWAS framework); Bayesian extensions by multiple groups including Teschendorff and colleagues | Baron & Kenny |
| Type≠ | Genomic association study with Bayesian inference | Indirect effects / path test |
| Oorspronkelijke bron≠ | 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. link ↗ | 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. link ↗ |
| Aliassen | 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) |
| Verwant≠ | 3 | 5 |
| Samenvatting≠ | 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. |
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