Table 5. Multiple linear regression analyses between visual field prediction error and various factors.
| Adjusted β | P value | VIF | |
|---|---|---|---|
| Age | –0.081 | 0.216 | 1.983 |
| Visual acuity (logMAR) | –0.059 | 0.253 | 1.204 |
| Spherical equivalence | 0.130 | 0.081 | 2.558 |
| Central corneal thickness | –0.007 | 0.889 | 1.065 |
| Axial length | 0.020 | 0.772 | 2.159 |
| Visual field MD | –0.433 | 0.000 | 1.846 |
| Macular OCT signal strength | 0.097 | 0.127 | 1.849 |
| Average mGCIPL thickness | –0.170 | 0.028 | 2.731 |
| ONH OCT signal strength | 0.040 | 0.540 | 1.914 |
| Average pRNFL thickness | –0.252 | 0.002 | 3.051 |
Final model: Outcome = root mean square error (RMSE) of prediction. Adjusted R2 = 0.463, P < 0.001, ENTER method used. No multicollinearity was found between variables (all VIFs ≤ 3.051).
MD: mean deviation, mGCIPL: macular ganglion cell-internal plexiform layer, OCT: optical coherence tomography, ONH: optic nerve head, pRNFL: peripapillary retinal nerve fibre layer, VIF: variance inflation factors.