Detecting Glaucoma Progression From Localized Rates of Retinal Changes in Parametric and Nonparametric Statistical Framework With Type I Error Control | Zendy

Madhusudhanan Balasubramanian | Zendy; Ery Arias-Castro | Zendy; Felipe A. Medeiros | Zendy; David Kriegman | Zendy; Christopher Bowd | Zendy; Robert N. Weinreb | Zendy; Michael Holst | Zendy; Pamela A. Sample | Zendy; Linda M. Zangwill | Zendy

Open Access

Detecting Glaucoma Progression From Localized Rates of Retinal Changes in Parametric and Nonparametric Statistical Framework With Type I Error Control

Author(s) -

Madhusudhanan Balasubramanian,

Ery Arias-Castro,

Felipe A. Medeiros,

David Kriegman,

Christopher Bowd,

Robert N. Weinreb,

Michael Holst,

Pamela A. Sample,

Linda M. Zangwill

Publication year - 2014

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.13-13246

Subject(s) - glaucoma , nonparametric statistics , ophthalmology , retinal , pixel , visual field , type i and type ii errors , medicine , optic disk , artificial intelligence , multiple comparisons problem , statistic , parametric statistics , mathematics , algorithm , computer science , statistics

We evaluated three new pixelwise rates of retinal height changes (PixR) strategies to reduce false-positive errors while detecting glaucomatous progression.

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