Modeling of atrophy size trajectories: variable transformation, prediction and age-of-onset estimation.

ABSTRACT:

Background

To model the progression of geographic atrophy (GA) in patients with age-related macular degeneration (AMD) by building a suitable statistical regression model for GA size measurements obtained from fundus autofluorescence imaging.

Methods

Based on theoretical considerations, we develop a linear mixed-effects model for GA size progression that incorporates covariable-dependent enlargement rates as well as correlations between longitudinally collected GA size measurements. To capture nonlinear progression in a flexible way, we systematically assess Box-Cox transformations with different transformation parameters λ. Model evaluation is performed on data collected for two longitudinal, prospective multi-center cohort studies on GA size progression.

Results

A t

SUBMITTER: Behning C 

PROVIDER: S-EPMC8369742 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature