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dc.contributor.authorStingo, Francesco C.
Guindani, Michele
Vannucci, Marina
Calhoun, Vince D.
dc.date.accessioned 2014-10-07T21:52:29Z
dc.date.available 2014-10-07T21:52:29Z
dc.date.issued 2013
dc.identifier.citation Stingo, Francesco C., Guindani, Michele, Vannucci, Marina, et al.. "An Integrative Bayesian Modeling Approach to Imaging Genetics." Journal of the American Statistical Association, 108, no. 503 (2013) Taylor & Francis: 876-891. http://dx.doi.org/10.1080/01621459.2013.804409.
dc.identifier.urihttps://hdl.handle.net/1911/77436
dc.language.iso eng
dc.publisher Taylor & Francis
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyighted by Taylor & Francis
dc.title An Integrative Bayesian Modeling Approach to Imaging Genetics
dc.type Journal article
dc.citation.journalTitle Journal of the American Statistical Association
dc.subject.keywordBayesian Hierarchical Model
functional Magnetic Resonance Imaging
Imaging Genetics
Markov Random Field
Neuroimaging
Single-nucleotide polymorphism
Variable Selection
dc.citation.volumeNumber 108
dc.citation.issueNumber 503
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1080/01621459.2013.804409
dc.identifier.pmcid PMC3843531
dc.identifier.pmid 24298194
dc.type.publication post-print
dc.citation.firstpage 876
dc.citation.lastpage 891


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