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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| 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 |