Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies

The ubiquitous adoption of linearity for quantitative predictors in statistical modeling is likely attributable to its advantages of straightforward interpretation and computational feasibility. The linearity assumption may be a reasonable approximation especially when the variable is confined withi...

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Detalles Bibliográficos
Autores principales: Chen, Gang, Nash, Tiffany A., Cole, Katherine M., Kohn, Philip D., Wei, Shau-Ming, Gregory, Michael D., Eisenberg, Daniel P., Cox, Robert W., Berman, Karen F., Kippenhan, J. Shane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284193/
https://www.ncbi.nlm.nih.gov/pubmed/33667672
http://dx.doi.org/10.1016/j.neuroimage.2021.117891

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284193/
https://www.ncbi.nlm.nih.gov/pubmed/33667672
http://dx.doi.org/10.1016/j.neuroimage.2021.117891

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