Multimodal data integration via mediation analysis with high-dimensional exposures and mediators

dc.contributor.authorZhao, Yi
dc.contributor.authorLi, Lexin
dc.contributor.authorAlzheimer's Disease Neuroimaging Initiative
dc.contributor.departmentBiostatistics and Health Data Science, School of Medicine
dc.date.accessioned2023-06-19T10:55:33Z
dc.date.available2023-06-19T10:55:33Z
dc.date.issued2022
dc.description.abstractMotivated by an imaging proteomics study for Alzheimer's disease (AD), in this article, we propose a mediation analysis approach with high-dimensional exposures and high-dimensional mediators to integrate data collected from multiple platforms. The proposed method combines principal component analysis with penalized least squares estimation for a set of linear structural equation models. The former reduces the dimensionality and produces uncorrelated linear combinations of the exposure variables, whereas the latter achieves simultaneous path selection and effect estimation while allowing the mediators to be correlated. Applying the method to the AD data identifies numerous interesting protein peptides, brain regions, and protein-structure-memory paths, which are in accordance with and also supplement existing findings of AD research. Additional simulations further demonstrate the effective empirical performance of the method.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationZhao Y, Li L; Alzheimer's Disease Neuroimaging Initiative. Multimodal data integration via mediation analysis with high-dimensional exposures and mediators. Hum Brain Mapp. 2022;43(8):2519-2533. doi:10.1002/hbm.25800en_US
dc.identifier.urihttps://hdl.handle.net/1805/33845
dc.language.isoen_USen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1002/hbm.25800en_US
dc.relation.journalHuman Brain Mappingen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourcePMCen_US
dc.subjectAlzheimer's diseaseen_US
dc.subjectMediation analysisen_US
dc.subjectMultimodal data integrationen_US
dc.subjectNeuroimagingen_US
dc.subjectPrincipal component analysisen_US
dc.titleMultimodal data integration via mediation analysis with high-dimensional exposures and mediatorsen_US
dc.typeArticleen_US
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