Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies

Bryan Guillaume, Changqing Wang, Joann S. Poh, Mo Jun Shen, Mei Lyn Ong, Pei Fang Tan, Neerja Karnani, Michael J. Meaney, Anqi Qiu. Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies. NeuroImage, 173:57-71, 2018. [doi]

@article{GuillaumeWPSOTK18,
  title = {Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies},
  author = {Bryan Guillaume and Changqing Wang and Joann S. Poh and Mo Jun Shen and Mei Lyn Ong and Pei Fang Tan and Neerja Karnani and Michael J. Meaney and Anqi Qiu},
  year = {2018},
  doi = {10.1016/j.neuroimage.2018.01.073},
  url = {https://doi.org/10.1016/j.neuroimage.2018.01.073},
  researchr = {https://researchr.org/publication/GuillaumeWPSOTK18},
  cites = {0},
  citedby = {0},
  journal = {NeuroImage},
  volume = {173},
  pages = {57-71},
}