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July 6, 2013Investigative Ophthalmology & Visual ScienceOpen Access

Nonlinear, Multilevel Mixed-Effects Approach for Modeling Longitudinal Standard Automated Perimetry Data in Glaucoma

Manoj Kumar Pathak Shaban Demirel Stuart K. Gardiner

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Abstract

Multilevel mixed-effects models provide better fits to the test data than OLSLR by accounting for group effects and/or within-group correlation. However, the fitted LME model poorly tracks visual field (VF) change over time. An exponential model provides a significant improvement over linear models and more accurately tracks VF change over time in this cohort.

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Pathak et al. (2013) studied this question.

synapsesocial.com/papers/69dbb2b0387cf70698688841 https://doi.org/10.1167/iovs.13-12236

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