Combining structural and functional measurements to improve detection of glaucoma progression using Bayesian hierarchical models.

ABSTRACT:

Purpose

To present and evaluate a new methodology for combining longitudinal information from structural and functional tests to improve detection of glaucoma progression and estimation of rates of change.

Methods

This observational cohort study included 434 eyes of 257 participants observed for an average of 4.2 ± 1.1 years and recruited from the Diagnostic Innovations in Glaucoma Study (DIGS). The subjects were examined annually with standard automated perimetry, optic disc stereophotographs, and scanning laser polarimetry with enhanced corneal compensation. Rates of change over time were measured using the visual field index (VFI) and average retinal nerve fiber layer thickness (TSNIT average). A bayesian hierarchical model was built to integrate information from the long

SUBMITTER: Medeiros FA 

PROVIDER: S-EPMC3176049 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature