Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Novel data-driven, equation-free method captures spatio-temporal patterns of neurodegeneration in Parkinson's disease: Application of dynamic mode decomposition to PET
por: Fu, Jessie Fanglu, et al.
Publicado: (2019) -
An adult with focal neurological deficits and inter-arm blood pressure difference
por: Nandhagopal, Ramachandiran
Publicado: (2015) -
Cerebral angiography: Unusual connection and disconnection
por: Nandhagopal, Ramachandiran
Publicado: (2015) -
Spatiotemporal patterns of putaminal dopamine processing in Parkinson’s disease: A multi-tracer positron emission tomography study
por: Fu, Jessie Fanglu, et al.
Publicado: (2022) -
Serotonin transporter binding and motor onset of Parkinson's disease in asymptomatic LRRK2 mutation carriers: a cross-sectional study
por: Wile, Daryl J, et al.
Publicado: (2017)