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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...
保存先:
| 出版年: | Front Neurosci |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2016
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| 主題: | |
| オンライン･アクセス: | 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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