A Bayesian Hierarchical Longitudinal Model for Estimation of Central Visual Field Rates of Change in Glaucoma
Visual field locations with sensitivity near or less than 20 dB demonstrate markedly greater variability over time; thus, excluding these points from visual field algorithms or analytical models could improve efficiency in detecting perimetric progression.
Authors
- Anne Louise Coleman (ORCID: https://orcid.org/0000-0002-0807-5176)
- A. Liu (ORCID: https://orcid.org/0009-0006-2762-0922)
- Erica Su (ORCID: https://orcid.org/0000-0003-0402-9938)
- Robert E. Weiss (ORCID: https://orcid.org/0000-0003-3648-8522)
- Simon K. Law
- Vahid Mohammadzadeh
- Kouros Nouri‐Mahdavi (ORCID: https://orcid.org/0000-0001-9403-8904)
- Joseph Caprioli (ORCID: https://orcid.org/0000-0002-2383-7263)
- Sajad Besharati (ORCID: https://orcid.org/0000-0002-6520-0877)
Institutions
- University of California, Los Angeles (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1167/tvst.14.9.24
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Research to Prevent Blindness
- National Institutes of Health