Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data

The current paper leveraged a large multi-study functional magnetic resonance imaging (fMRI) dataset (N = 363) and a generated missingness paradigm to demonstrate different approaches for handling missing fMRI data under a variety of conditions. The performance of full information maximum likelihood...

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Detalles Bibliográficos
Autores principales: Nelson, Timothy D., Brock, Rebecca L., Yokum, Sonja, Tomaso, Cara C., Savage, Cary R., Stice, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514662/
https://www.ncbi.nlm.nih.gov/pubmed/34658780
http://dx.doi.org/10.3389/fnins.2021.746424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514662/
https://www.ncbi.nlm.nih.gov/pubmed/34658780
http://dx.doi.org/10.3389/fnins.2021.746424

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