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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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| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Association for Research in Vision and Ophthalmology, Inc.
2011
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| Aiheet: | |
| Linkit: | 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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