Hierarchical Censored Bayesian Analysis of Visual Field Progression
Author:
Affiliation:
1. City, University of London, Optometry and Visual Sciences, London, UK
2. NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
Publisher
Association for Research in Vision and Ophthalmology (ARVO)
Subject
Ophthalmology,Biomedical Engineering
Cited by 14 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. Detecting Fast Progressors: Comparing a Bayesian Longitudinal Model to Linear Regression for Detecting Structural Changes in Glaucoma;American Journal of Ophthalmology;2024-05
2. Estimating the Distribution of True Rates of Visual Field Progression in Glaucoma;Translational Vision Science & Technology;2024-04-09
3. Understanding and identifying visual field progression;Clinical and Experimental Optometry;2024-02-17
4. A Bayesian Hierarchical Spatial Longitudinal Model Improves Estimation of Local Macular Rates of Change in Glaucomatous Eyes;Translational Vision Science & Technology;2024-01-29
5. Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma;Translational Vision Science & Technology;2023-10-31
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