Table 3.
Adjusted R2 of models that use the baseline value of each index to predict the subsequent rate of change. Values in bold were significantly different (better or worse) from the model that used MD to predict subsequent slope of MD (p<5%). A backwards-elimination linear regression model was used as outlined in the Methods section. Definitions of each index are given in the Methods section. The indices labeled ‘cap’ are calculated after pointwise sensitivities were capped at the age-corrected normal value.
| Participants with GON | Participants without GON | ||||
|---|---|---|---|---|---|
| Baseline Index: | Based on model from: | Adjusted R2 predicting slope of MD | Adjusted R2 predicting slope of same index | Adjusted R2 predicting slope of MD | Adjusted R2 predicting slope of same index |
| MD | 0.14 | 0.14 | 0.17 | 0.17 | |
| LMS | Linear-scaled mean | 0.13 | 0.14 | 0.15 | 0.08 |
| CountG | Garway-Heath | 0.10 | 0.01 | 0.15 | 0.01 |
| CountHa | Harwerth | 0.13 | 0.06 | 0.15 | 0.03 |
| LossHo | Hood | 0.12 | 0.12 | 0.14 | 0.07 |
| CountD | Drasdo | 0.09 | 0.13 | 0.14 | 0.09 |
| CountDA | Drasdo (age-corrected) | 0.08 | 0.08 | 0.13 | 0.10 |
| LMS(cap) | Linear-scaled mean | 0.12 | 0.20 | 0.16 | 0.18 |
| CountG(cap) | Garway-Heath | 0.05 | 0.01 | 0.19 | 0.02 |
| CountHa(cap) | Harwerth | 0.10 | 0.05 | 0.18 | 0.08 |
| LossHo(cap) | Hood | 0.15 | 0.27 | 0.12 | 0.20 |
| CountD(cap) | Drasdo | 0.04 | 0.03 | 0.11 | 0.07 |
| CountDA(cap) | Drasdo (age-corrected) | 0.06 | 0.22 | 0.11 | 0.13 |