Statistical challenges in "big data" human neuroimaging

Smith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and amounts of data. These studies provide great opportunities for making new discoveries about the brain but raise many new analytical challenges and interpretational risks.

Bibliographic Details
Main Authors: Smith, S, Nichols, T
Format: Journal article
Language:English
Published: Elsevier 2018
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author Smith, S
Nichols, T
author_facet Smith, S
Nichols, T
author_sort Smith, S
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description Smith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and amounts of data. These studies provide great opportunities for making new discoveries about the brain but raise many new analytical challenges and interpretational risks.
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spelling oxford-uuid:973cdb48-717d-4539-849a-a15288c132a62022-03-26T23:58:02ZStatistical challenges in "big data" human neuroimagingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:973cdb48-717d-4539-849a-a15288c132a6EnglishSymplectic Elements at OxfordElsevier2018Smith, SNichols, TSmith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and amounts of data. These studies provide great opportunities for making new discoveries about the brain but raise many new analytical challenges and interpretational risks.
spellingShingle Smith, S
Nichols, T
Statistical challenges in "big data" human neuroimaging
title Statistical challenges in "big data" human neuroimaging
title_full Statistical challenges in "big data" human neuroimaging
title_fullStr Statistical challenges in "big data" human neuroimaging
title_full_unstemmed Statistical challenges in "big data" human neuroimaging
title_short Statistical challenges in "big data" human neuroimaging
title_sort statistical challenges in big data human neuroimaging
work_keys_str_mv AT smiths statisticalchallengesinbigdatahumanneuroimaging
AT nicholst statisticalchallengesinbigdatahumanneuroimaging