Making an unknown unknown a known unknown: Missing data in longitudinal neuroimaging studies

The analysis of longitudinal neuroimaging data within the massively univariate framework provides the opportunity to study empirical questions about neurodevelopment. Missing outcome data are an all-to-common feature of any longitudinal study, a feature that, if handled improperly, can reduce statis...

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Detalles Bibliográficos
Autores principales: Matta, Tyler H., Flournoy, John C., Byrne, Michelle L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969275/
https://www.ncbi.nlm.nih.gov/pubmed/29129673
http://dx.doi.org/10.1016/j.dcn.2017.10.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969275/
https://www.ncbi.nlm.nih.gov/pubmed/29129673
http://dx.doi.org/10.1016/j.dcn.2017.10.001

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