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

Jamalabadi, Hamidreza; Alizadeh, Sarah; Schoenauer, Monika; Leibold, Christian; Gais, Steffen

dc.contributor.author	Jamalabadi, Hamidreza
dc.contributor.author	Alizadeh, Sarah
dc.contributor.author	Gais, Steffen
dc.contributor.author	Schönauer, Monika
dc.date.accessioned	2019-08-17T12:15:50Z
dc.date.available	2019-08-17T12:15:50Z
dc.date.issued	2018
dc.identifier.issn	1553-7358
dc.identifier.uri	http://hdl.handle.net/10900/91594
dc.language.iso	en	de_DE
dc.publisher	Public Library Science	de_DE
dc.relation.uri	http://dx.doi.org/10.1371/journal.pcbi.1006486	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	Multivariate classification of neuroimaging data with nested subclasses : biased accuracy and implications for hypothesis testing	de_DE
dc.type	Article	de_DE
utue.quellen.id	20190321153956_01193
utue.personen.roh	Jamalabadi, Hamidreza
utue.personen.roh	Alizadeh, Sarah
utue.personen.roh	Schoenauer, Monika
utue.personen.roh	Leibold, Christian
utue.personen.roh	Gais, Steffen
dcterms.isPartOf.ZSTitelID	Plos Computational Biology	de_DE
dcterms.isPartOf.ZS-Issue	Article e1006486	de_DE
dcterms.isPartOf.ZS-Volume	14	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE