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Detecting Glaucoma Progression From Localized Rates of Retinal Changes in Parametric and Nonparametric Statistical Framework With Type I Error Control
PURPOSE. We evaluated three new pixelwise rates of retinal height changes (PixR) strategies to reduce false-positive errors while detecting glaucomatous progression. METHODS. Diagnostic accuracy of nonparametric PixR-NP cluster test (CT), PixR-NP single threshold test (STT), and parametric PixR-P ST...
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| Vydáno v: | Invest Ophthalmol Vis Sci |
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| Hlavní autoři: | , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
The Association for Research in Vision and Ophthalmology
2014
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4586965/ https://ncbi.nlm.nih.gov/pubmed/24519427 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.13-13246 |
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