So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Nghiên cứu liên kết toàn bộ bộ gen biểu sinh trong nghiên cứu giáo dục× | Phân tích trung gian× | |
|---|---|---|
| Lĩnh vực≠ | Tin sinh học | Thống kê |
| Họ≠ | Process / pipeline | Hypothesis test |
| Năm ra đời≠ | EWAS framework ~2011; educational applications ~2017–present | 1986 |
| Người khởi xướng≠ | Rakyan, Down, Balding, and Beck (framework); applied to educational outcomes by Marioni, McCartney, and collaborators | Baron & Kenny |
| Loại≠ | Observational epigenomic association design | Indirect effects / path test |
| Công trình gốc≠ | 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. DOI ↗ | 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 ↗ |
| Tên gọi khác | EWAS of educational attainment, educational EWAS, epigenetic association study, EWAS | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) |
| Liên quan≠ | 3 | 5 |
| Tóm tắt≠ | An epigenome-wide association study (EWAS) applied to educational research scans DNA methylation levels at hundreds of thousands of CpG sites across the genome to identify loci whose methylation is statistically associated with educational attainment, cognitive ability, or related learning outcomes. By linking blood- or saliva-derived methylation profiles with school records or psychometric scores, EWAS offers a molecular window into how biological and environmental exposures may shape educationally relevant traits across the lifespan. | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|