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Testable Hypotheses for Unbalanced Neuroimaging Data
Unbalanced group-level models are common in neuroimaging. Typically, data for these models come from factorial experiments. As such, analyses typically take the form of an analysis of variance (ANOVA) within the framework of the general linear model (GLM). Although ANOVA theory is well established f...
שמור ב:
| הוצא לאור ב: | Front Neurosci |
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| מחבר ראשי: | |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2016
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4911391/ https://ncbi.nlm.nih.gov/pubmed/27378839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2016.00270 |
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