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Table 4 Simple (unadjusted) and multiple (adjusted) stepwise regression models for best corrected distance visual acuity logarithm of the minimum angle of resolution (logMAR), best corrected distance visual acuity manifest spherical equivalent (MSE), 25% mesopic contrast, super vision test LogMAR and logarithm of the contrast sensitivity (logCS), and total higher order aberrations (HOA) as predictors of average identification distance of signs (n = 29)

From: Preliminary evaluation of the VIsion PERformance (VIPER) simulator

Item Unadjusted Adjusteda
β SE P R2 β SE P
Best CDVA LogMAR 9.79 20.23 0.632 0.008
Best CDVA MSE 1.57 0.66 0.023 0.171 1.46 0.69 0.042
25% mesopic OU −16.44 0.043
Super vision visual acuity (LogMAR) −16.65 0.023
Super vision contrast sensitivity (log CS) 1.03 0.001
Total HOA 0.31 0.045
  1. aR2 = 0.145; “-”: Not selected for inclusion in stepwise regression model; CDVA: Corrected distance visual acuity; OU: Both eyes
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