NDLI: Global Visit Effects in Point-Wise Longitudinal Modeling of Glaucomatous Visual Fields.

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Global Visit Effects in Point-Wise Longitudinal Modeling of Glaucomatous Visual Fields.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Vermeer, Koenraad A. Eilers, Paul H. C. Lemij, Hans G. Bryan, Susan R. Lesaffre, Emmanuel M. E. H.
Description	Country affiliation: Netherlands Author Affiliation: Bryan SR ( Rotterdam Ophthalmic Institute Rotterdam, The Netherlands 2Department of Biostatistics, Erasmus MC, Rotterdam, The Netherlands.); Eilers PH ( Department of Biostatistics, Erasmus MC, Rotterdam, The Netherlands.); Lesaffre EM ( Department of Biostatistics, Erasmus MC, Rotterdam, The Netherlands 3KU Leuven, L-Biostat, Leuven, Belgium.); Lemij HG ( Glaucoma Service, Rotterdam Eye Hospital, Rotterdam, The Netherlands.); Vermeer KA ( Rotterdam Ophthalmic Institute Rotterdam, The Netherlands.)
Abstract	PURPOSE: One of the difficulties in modeling visual field (VF) data is the sometimes large and correlated measurement errors in the point-wise sensitivity estimates. As these errors affect all locations of the same VF, we propose to model them as global visit effects (GVE). We evaluate this model and show the effect it has on progression estimation and prediction. METHODS: Visual field series (24-2 Full Threshold; 15 biannual VFs per patient) of 125 patients with primary glaucoma were included in the analysis. The contribution of the GVE was evaluated by comparing the fitting and predictive ability of a conventional model, which does not contain GVE, to such a model that incorporates the GVE. Moreover, the GVE's effect on the estimated slopes was evaluated by determining the absolute difference between the slopes of the models. Finally, the magnitude of the GVE was compared with that of other measurement errors. RESULTS: The GVE model showed a significant improvement in both the model fit and predictive ability over the conventional model, especially when the number of VFs in a series is limited. The average absolute difference in slopes between the models was 0.13 dB/y. Lastly, the magnitude of the GVE was more than three times larger than the measureable factors combined. CONCLUSIONS: By incorporating the GVE in the longitudinal modeling of VF data, better estimates may be obtained of the rate of progression as well as of predicted future sensitivities.
ISSN	01460404
e-ISSN	15525783
Journal	Investigative Opthalmology & Visual Science
Issue Number	8
Volume Number	56
Language	English
Publisher	Association for Research in Vision and Ophthalmology
Publisher Date	2015-07-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Glaucoma Physiopathology Models, Theoretical Visual Fields Physiology Disease Progression Diagnosis Visual Field Tests Discipline Ophthalmology
Content Type	Text
Resource Type	Article
Subject	Ophthalmology Sensory Systems Cellular and Molecular Neuroscience

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