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A Hierarchical Modeling Approach to Data Analysis and Study Design in a Multi-Site Experimental FMRI Study
We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4142354/ https://ncbi.nlm.nih.gov/pubmed/25107616 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11336-012-9298-9 |
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