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. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Ophthalmol Glaucoma. 2022 Feb 7;5(5):507–515. doi: 10.1016/j.ogla.2022.02.001

Table 2:

Goodness of fit of univariate models predicting clinicians’ subjective assessment of the rate of structural progression from various quantitative structural metrics of the rate of change, based on global measures or on the most rapidly changing sector for that particular eye. Clinicians’ scores were on a scale from 1 (improvement) to 7 (very rapid progression), averaged between 11 glaucoma specialists. Goodness of fit was measured using the pseudo-R2 for weighted generalized estimating equations, which can be thought of as representing the proportion of variance explained by the model. 95% confidence intervals for these pseudo-R2 values from bootstrapping are shown in parentheses.

Predictor Using All Series Excluding Outliers
Retinal Nerve Fiber Layer Thickness:
Global Rate (μm/y) 0.305 (0.210 −0.557) 0.514 (0.381 −0.580)
Global Rate (%/y) 0.372 (0.286 −0.549) 0.543 (0.331 −0.603)
Worst Sector Rate (μm/y) 0.582 (0.497 −0.683) 0.579 (0.489 −0.686)
Worst Sector Rate (%/y) 0.657 (0.557 −0.749) 0.667 (0.572 −0.757)
Minimum Rim Width:
Global Rate (μm/y) 0.084 (0.017 −0.256) 0.123 (0.017 −0.273)
Global Rate (%/y) 0.084 (0.016 −0.296) 0.114 (0.015 −0.319)
Worst Sector Rate (μm/y) 0.047 (0.017 −0.165) 0.063 (0.016 −0.177)
Worst Sector Rate (%/y) 0.149 (0.042 −0.365) 0.160 (0.040 −0.356)