Effect-Size Estimation Using Semiparametric Hierarchical Mixture Models in Disease-Association Studies with Neuroimaging Data

In disease-association studies using neuroimaging data, evaluating the biological or clinical significance of individual associations requires not only detection of disease-associated areas of the brain but also estimation of the magnitudes of the associations or effect sizes for individual brain ar...

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Detalles Bibliográficos
Autores principales: Emoto, Ryo, Kawaguchi, Atsushi, Takahashi, Kunihiko, Matsui, Shigeyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787870/
https://www.ncbi.nlm.nih.gov/pubmed/33488762
http://dx.doi.org/10.1155/2020/7482403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787870/
https://www.ncbi.nlm.nih.gov/pubmed/33488762
http://dx.doi.org/10.1155/2020/7482403

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