Table 5.
Multiple Linear Regression Analysis for Association Between Estimation Error and Various Factors
| β | P Value | |
|---|---|---|
| Zeiss SD-OCT | ||
| Age | –0.106 | 0.205 |
| Axial length | 0.026 | 0.739 |
| Central corneal thickness | –0.039 | 0.547 |
| Macula OCT signal strength | –0.079 | 0.356 |
| ONH OCT signal strength | 0.029 | 0.722 |
| VF MD | –0.493 | <0.001 |
| Topcon SS-OCT | ||
| Age | –0.045 | 0.530 |
| Axial length | –0.050 | 0.479 |
| Central corneal thickness | –0.014 | 0.814 |
| OCT signal strength | –0.063 | 0.292 |
| VF MD | –0.612 | <0.001 |
Table contains the results of two multiple linear regression models. The outcome variables are estimation error (root mean squared error) of Zeiss SD-OCT and estimation error of Topcon SS-OCT. Each model includes age, axial length, central corneal thickness, OCT signal strengths, VF MD factor as a covariate. The ‘Enter’ method was used.