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...

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Detalles Bibliográficos
Autores principales: Abram, Samantha V., Helwig, Nathaniel E., Moodie, Craig A., DeYoung, Colin G., MacDonald, Angus W., Waller, Niels G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
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

Internet

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

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