Cargando…
Linear high-dimensional mediation models adjusting for confounders using propensity score method
High-dimensional mediation analysis has been developed to study whether epigenetic phenotype in a high-dimensional data form would mediate the causal pathway of exposure to disease. However, most existing models are designed based on the assumption that there are no confounders between the exposure,...
Autores principales: | Luo, Linghao, Yan, Yuting, Cui, Yidan, Yuan, Xin, Yu, Zhangsheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589256/ https://www.ncbi.nlm.nih.gov/pubmed/36299590 http://dx.doi.org/10.3389/fgene.2022.961148 |
Ejemplares similares
-
High-Dimensional Mediation Analysis With Confounders in Survival Models
por: Yu, Zhangsheng, et al.
Publicado: (2021) -
High-Dimensional Mediation Analysis Based on Additive Hazards Model for Survival Data
por: Cui, Yidan, et al.
Publicado: (2021) -
Performance of the high-dimensional propensity score in adjusting for unmeasured confounders
por: Guertin, Jason R, et al.
Publicado: (2016) -
Using ecological propensity score to adjust for missing confounders in small area studies
por: Wang, Yingbo, et al.
Publicado: (2019) -
Bacteremic sepsis leads to higher mortality when adjusting for confounders with propensity score matching
por: Mellhammar, Lisa, et al.
Publicado: (2021)