Predicting the multi-domain progression of Parkinson’s disease: a Bayesian multivariate generalized linear mixed-effect model

BACKGROUND: It is challenging for current statistical models to predict clinical progression of Parkinson’s disease (PD) because of the involvement of multi-domains and longitudinal data. METHODS: Past univariate longitudinal or multivariate analyses from cross-sectional trials have limited power to...

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Detalles Bibliográficos
Autores principales: Wang, Ming, Li, Zheng, Lee, Eun Young, Lewis, Mechelle M., Zhang, Lijun, Sterling, Nicholas W., Wagner, Daymond, Eslinger, Paul, Du, Guangwei, Huang, Xuemei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613469/
https://www.ncbi.nlm.nih.gov/pubmed/28946857
http://dx.doi.org/10.1186/s12874-017-0415-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613469/
https://www.ncbi.nlm.nih.gov/pubmed/28946857
http://dx.doi.org/10.1186/s12874-017-0415-4

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