Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions

Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions

Purpose: To compare how linear mixed models (LMMs) using Gaussian, Student t, and log-gamma (LG) random effect distributions estimate rates of structural loss in a glaucomatous population using OCT and to compare model performance to ordinary least squares (OLS) regression. Design: Retrospective coh...

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Bibliographic Details
Main Authors: Swarup S. Swaminathan, MD, Samuel I. Berchuck, PhD, J. Sunil Rao, PhD, Felipe A. Medeiros, MD, PhD
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Ophthalmology Science
Subjects:
Bayesian hierarchical modeling
Glaucoma
Linear mixed models
OCT
Retinal nerve fiber layer
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523001860

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http://www.sciencedirect.com/science/article/pii/S2666914523001860

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