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A Comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?
Even after thorough preprocessing and a careful time series analysis of functional magnetic resonance imaging (fMRI) data, artifact and other issues can lead to violations of the assumption that the variance is constant across subjects in the group level model. This is especially concerning when mod...
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| Vydáno v: | Neuroimage |
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| Hlavní autor: | |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5802393/ https://ncbi.nlm.nih.gov/pubmed/28030782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.12.058 |
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