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Bayesian Hierarchical Model for Multiple Repeated Measures and Survival Data: an application to Parkinson's Disease
Multilevel item response theory (MLIRT) models have been increasingly used to analyze the multivariate longitudinal data of mixed types (e.g., continuous and categorical) in clinical studies. To address the possible correlation between multivariate longitudinal measures and time to terminal events (...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4184935/ https://ncbi.nlm.nih.gov/pubmed/24935619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6228 |
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