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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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| Udgivet i: | BMC Med Res Methodol |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5613469/ https://ncbi.nlm.nih.gov/pubmed/28946857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0415-4 |
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