Handling Multiplicity in Neuroimaging through Bayesian Lenses with Multilevel Modeling

Here we address the current issues of inefficiency and over-penalization in the massively univariate approach followed by the correction for multiple testing, and propose a more efficient model that pools and shares information among brain regions. Using Bayesian multilevel (BML) modeling, we contro...

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Bibliografiska uppgifter
I publikationen:Neuroinformatics
Huvudupphovsmän: Chen, Gang, Xiao, Yaqiong, Taylor, Paul A., Rajendra, Justin K., Riggins, Tracy, Geng, Fengji, Redcay, Elizabeth, Cox, Robert W.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2019
Ämnen:
Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6635105/
https://ncbi.nlm.nih.gov/pubmed/30649677
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12021-018-9409-6
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