Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through...
Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning
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United States: Elsevier Inc
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Language
English
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United States: Elsevier Inc
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Contents
While inter-subject correlation (ISC) analysis is a powerful tool for naturalistic scanning data, drawing appropriate statistical inferences is difficult due to the daunting task of accounting for the intricate relatedness in data structure as well as handling the multiple testing issue. Although the linear mixed-effects (LME) modeling approach (Ch...
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Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning
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TN_cdi_doaj_primary_oai_doaj_org_article_a8f57051b7e2479896bd53fa4ac8a7a8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a8f57051b7e2479896bd53fa4ac8a7a8
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2019.116474
