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Robust nonparametric tests of general linear model coefficients: A comparison of permutation methods and test statistics
Statistical inference in neuroimaging research often involves testing the significance of regression coefficients in a general linear model. In many applications, the researcher assumes a model of the form Y = α + Xβ + Zγ + ϵ, where Y is the observed brain signal, and X and Z contain explanatory var...
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| Udgivet i: | Neuroimage |
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| Hovedforfatter: | |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6765412/ https://ncbi.nlm.nih.gov/pubmed/31330243 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.116030 |
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