Table 6 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 IEDs (n = 29)
From: Preliminary evaluation of the VIsion PERformance (VIPER) simulator
Item | Unadjusted | Adjusteda | |||||
|---|---|---|---|---|---|---|---|
β | SE | P | R2 | β | SE | P | |
Best CDVA LogMAR | 5.23 | 18.77 | 0.783 | 0.003 | – | – | – |
Best CDVA MSE | 1.22 | 0.62 | 0.062 | 0.119 | 1.23 | 0.66 | 0.072 |
25% mesopic OU | −5.54 | 13.88 | 0.693 | 0.006 | – | – | – |
Super vision visual acuity (LogMAR) | −19.01 | 18.78 | .320 | 0.035 | – | – | – |
Super vision contrast sensitivity (log CS) | −4.91 | 6.27 | 0.440 | 0.021 | – | – | – |
Total HOA | 0.37 | 0.25 | 0.154 | 0.074 | – | – | – |