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Combining Structural and Functional Measurements to Improve Detection of Glaucoma Progression using Bayesian Hierarchical Models

PURPOSE. To present and evaluate a new methodology for combining longitudinal information from structural and functional tests to improve detection of glaucoma progression and estimation of rates of change. METHODS. This observational cohort study included 434 eyes of 257 participants observed for a...

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Autores principales: Medeiros, Felipe A., Leite, Mauro T., Zangwill, Linda M., Weinreb, Robert N.
Formato: Artigo
Lenguaje:Inglês
Publicado: Association for Research in Vision and Ophthalmology, Inc. 2011
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3176049/
https://ncbi.nlm.nih.gov/pubmed/21693614
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.10-7111
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