Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development

For longitudinal studies with multivariate observations, we propose statistical methods to identify clusters of archetypal subjects by using techniques from functional data analysis and to relate longitudinal patterns to outcomes. We demonstrate how this approach can be applied to examine associatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Kyunghee, Hadjipantelis, Pantelis Z., Wang, Jane-Ling, Kramer, Michael S., Yang, Seungmi, Martin, Richard M., Müller, Hans-Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231639/
https://www.ncbi.nlm.nih.gov/pubmed/30419052
http://dx.doi.org/10.1371/journal.pone.0207073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231639/
https://www.ncbi.nlm.nih.gov/pubmed/30419052
http://dx.doi.org/10.1371/journal.pone.0207073

Ejemplares similares