Accommodating Site Variation In Neuroimaging Data Using Normative And Hierarchical Bayesian Models

The potential of normative modeling to make individualized predictions from neuroimaging data has enabled inferences that go beyond the case-control approach. However, site effects are often confounded with variables of interest in a complex manner and can bias estimates of normative models, which h...

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Detalles Bibliográficos
Autores principales: Bayer, Johanna M. M., Dinga, Richard, Kia, Seyed Mostafa, Kottaram, Akhil R., Wolfers, Thomas, Lv, Jinglei, Zalesky, Andrew, Schmaal, Lianne, Marquand, Andre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614761/
https://www.ncbi.nlm.nih.gov/pubmed/36272672
http://dx.doi.org/10.1101/2021.02.09.430363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614761/
https://www.ncbi.nlm.nih.gov/pubmed/36272672
http://dx.doi.org/10.1101/2021.02.09.430363

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