Detecting Fast Progressors: Comparing a Bayesian Longitudinal Model to Linear Regression for Detecting Structural Changes in Glaucoma

Demonstrate that a novel Bayesian hierarchical spatial longitudinal (HSL) model identifies macular superpixels with rapidly deteriorating ganglion cell complex (GCC) thickness more efficiently than simple linear regression (SLR).

Source: American Journal of Ophthalmology - January 26, 2024 Category: Opthalmology Authors: Sajad Besharati, Erica Su, Vahid Mohammadzadeh, Massood Mohammadi, Joseph Caprioli, Robert E. Weiss, Kouros Nouri-Mahdavi Tags: Original Articles Source Type: research