Bayesian network mediation analysis with application to the brain functional connectome.

Zhao, Yize; Chen, Tianqi; Cai, Jiachen; Lichenstein, Sarah; Potenza, Marc N; Yip, Sarah W

Zhao, Yize; Chen, Tianqi; Cai, Jiachen; Lichenstein, Sarah; Potenza, Marc N; Yip, Sarah W.

Afiliação

Zhao Y; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
Chen T; Yale Center for Analytical Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
Cai J; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
Lichenstein S; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
Potenza MN; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Yip SW; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.

Stat Med ; 41(20): 3991-4005, 2022 09 10.

Article em En | MEDLINE | ID: mdl-35795965

Assuntos

Conectoma; Teorema de Bayes; Encéfalo/diagnóstico por imagem; Humanos; Imageamento por Ressonância Magnética; Análise de Mediação; Rede Nervosa

Palavras-chave

Bayesian feature selection; addictive behaviors; brain network; mediation analysis; network mediator; stochastic block model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conectoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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