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Applications of multivariate modeling to neuroimaging group analysis: A comprehensive alternative to univariate general linear model
All neuroimaging packages can handle group analysis with t-tests or general linear modeling (GLM). However, they are quite hamstrung when there are multiple within-subject factors or when quantitative covariates are involved in the presence of a within-subject factor. In addition, sphericity is typi...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4121851/ https://ncbi.nlm.nih.gov/pubmed/24954281 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.06.027 |
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