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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Ophthalmol Glaucoma. 2020 Dec 11;4(4):390–399. doi: 10.1016/j.ogla.2020.12.001

Figure 5.

Figure 5.

Best predictive models for test-retest variability using stepwise linear regression. Top panel (A-C): regression coefficients for (A) “base model” selected from global and reliability indices only, (B) “base + total deviation (TD) model” selected from base parameters as well as TD values at 52 locations, and (C) “base + archetype (AT) model” selected from base parameters as well as archetypes. Bottom panel (D-F): increase in Bayesian information criterion (BIC) when each parameter is removed from the respective models. Blue = base parameters; orange = TD values; red = archetypes. MD = mean deviation; PSD = pattern standard deviation; GHT = glaucoma hemifield test; FNR = false negative rate; FPR = false positive rate.