Visual Field Progression in Glaucoma: Comparison Between PoPLR and ANSWERS.

ABSTRACT:

Purpose

It has been suggested that the detection of visual field progression can be improved by modeling statistical properties of the data such as the increasing retest variability and the spatial correlation among visual field locations. We compared a method that models those properties, Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS), against a simpler one that does not, Permutation of Pointwise Linear Regression (PoPLR).

Methods

Visual field series from three independent longitudinal studies in patients with glaucoma were used to compare the positive rate of PoPLR and ANSWERS. To estimate the false-positive rate, the same visual field series were randomly re-ordered in time. The first dataset consisted of series of 7 visual fields

SUBMITTER: Marin-Franch I 

PROVIDER: S-EPMC8684309 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature