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Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data()
While aggregation of neuroimaging datasets from multiple sites and scanners can yield increased statistical power, it also presents challenges due to systematic scanner effects. This unwanted technical variability can introduce noise and bias into estimation of biological variability of interest. We...
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| Pubblicato in: | Neuroimage |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7605103/ https://ncbi.nlm.nih.gov/pubmed/32640273 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2020.117129 |
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