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

Author:

Balasubramanian Madhusudhanan1,Arias-Castro Ery2,Medeiros Felipe A.3,Kriegman David J.4,Bowd Christopher3,Weinreb Robert N.3,Holst Michael5,Sample Pamela A.3,Zangwill Linda M.3

Affiliation:

1. Hamilton Glaucoma Center, Ophthalmology, University of California San Diego, La Jolla, California 2Electrical & Computer Engineering, Biomedical Engineering, The University of Memphis, Memphis, Tennessee; and Biomedical Engineering, University of Tennesse

2. Mathematics, University of California San Diego, La Jolla, California

3. Hamilton Glaucoma Center, Ophthalmology, University of California San Diego, La Jolla, California

4. Computer Science & Engineering, University of California San Diego, La Jolla, California

5. Mathematics, University of California San Diego, La Jolla, California 5Physics, University of California San Diego, La Jolla, California

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

General Medicine

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