The Nature of Progression in Parkinson’s Disease: An Application of Non-Linear, Multivariate, Longitudinal Random Effects Modelling

BACKGROUND: To date, statistical methods that take into account fully the non-linear, longitudinal and multivariate aspects of clinical data have not been applied to the study of progression in Parkinson’s disease (PD). In this paper, we demonstrate the usefulness of such methodology for studying th...

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Detalles Bibliográficos
Autores principales: Kuramoto, Lisa, Cragg, Jacquelyn, Nandhagopal, Ramachandiran, Mak, Edwin, Sossi, Vesna, de la Fuente-Fernández, Raul, Stoessl, A. Jon, Schulzer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799835/
https://www.ncbi.nlm.nih.gov/pubmed/24204641
http://dx.doi.org/10.1371/journal.pone.0076595

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799835/
https://www.ncbi.nlm.nih.gov/pubmed/24204641
http://dx.doi.org/10.1371/journal.pone.0076595

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