Multivariate classification of neuroimaging data with nested subclasses: Biased accuracy and implications for hypothesis testing

Biological data sets are typically characterized by high dimensionality and low effect sizes. A powerful method for detecting systematic differences between experimental conditions in such multivariate data sets is multivariate pattern analysis (MVPA), particularly pattern classification. However, i...

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Detalles Bibliográficos
Autores principales: Jamalabadi, Hamidreza, Alizadeh, Sarah, Schönauer, Monika, Leibold, Christian, Gais, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177201/
https://www.ncbi.nlm.nih.gov/pubmed/30260958
http://dx.doi.org/10.1371/journal.pcbi.1006486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177201/
https://www.ncbi.nlm.nih.gov/pubmed/30260958
http://dx.doi.org/10.1371/journal.pcbi.1006486

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