A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data-Reference-Cited by-同舟云学术

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A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data

Published:2016-08-31 Issue:4 Volume:5 Page:14
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Warren Joshua L.¹,Mwanza Jean-Claude²,Tanna Angelo P.³,Budenz Donald L.²

Affiliation:

1. Department of Biostatistics, Yale University, New Haven, Connecticut, USA

2. Department of Ophthalmology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

3. Department of Ophthalmology, Northwestern University, Chicago, Illinois, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI and Glaucoma;Artificial Intelligence in Ophthalmology;2021

2. Functional assessment of glaucoma: Uncovering progression;Survey of Ophthalmology;2020-11

3. Forecasting future Humphrey Visual Fields using deep learning;PLOS ONE;2019-04-05

4. Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method;Journal of the American Statistical Association;2019-04-01

5. A spatially varying change points model for monitoring glaucoma progression using visual field data;Spatial Statistics;2019-04

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