000 01343 a2200385 4500
005 20250517201858.0
264 0 _c20190128
008 201901s 0 0 eng d
022 _a1095-9572
024 7 _a10.1016/j.neuroimage.2018.01.073
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aGuillaume, Bryan
245 0 0 _aImproving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies.
_h[electronic resource]
260 _bNeuroImage
_c06 2018
300 _a57-71 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aComputer Simulation
650 0 4 _aData Interpretation, Statistical
650 0 4 _aGenome-Wide Association Study
_xmethods
650 0 4 _aHumans
650 0 4 _aLinear Models
650 0 4 _aLongitudinal Studies
650 0 4 _aModels, Statistical
650 0 4 _aNeuroimaging
_xmethods
700 1 _aWang, Changqing
700 1 _aPoh, Joann
700 1 _aShen, Mo Jun
700 1 _aOng, Mei Lyn
700 1 _aTan, Pei Fang
700 1 _aKarnani, Neerja
700 1 _aMeaney, Michael
700 1 _aQiu, Anqi
773 0 _tNeuroImage
_gvol. 173
_gp. 57-71
856 4 0 _uhttps://doi.org/10.1016/j.neuroimage.2018.01.073
_zAvailable from publisher's website
999 _c28090330
_d28090330