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Bootstrap Enhanced Penalized Regression for Variable Selection with Neuroimaging Data
Recent advances in fMRI research highlight the use of multivariate methods for examining whole-brain connectivity. Complementary data-driven methods are needed for determining the subset of predictors related to individual differences. Although commonly used for this purpose, ordinary least squares...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964314/ https://www.ncbi.nlm.nih.gov/pubmed/27516732 http://dx.doi.org/10.3389/fnins.2016.00344 |