TABLE 2.
Generalized estimating equations (GEE) analysis of ocular biometric parameters in pediatric high myopia.
| Model | Predictor | β | SE | 95% CI | P | N (eyes) | n (patients) |
|---|---|---|---|---|---|---|---|
| 1 | Age → AL (mm/yr) | 0.200 | 0.046 | (0.109, 0.291) | <0.001 | 116 | 65 |
| 2 | Age → AL/CR (per yr) | 0.028 | 0.008 | (0.013, 0.043) | <0.001 | 73 | 43 |
| 3 | Age → AL (Sex-adjusted, mm/yr) | 0.203 | 0.046 | (0.113, 0.294) | <0.001 | 116 | 65 |
| 4a | SE → AL (Age-adjusted, mm/D) | −0.239 | 0.052 | (−0.341, −0.138) | <0.001 | 116 | 65 |
| 4b | Age → AL (SE-adjusted, mm/yr) | 0.236 | 0.048 | (0.142, 0.331) | <0.001 | 116 | 65 |
| 5 | | ΔSE| ↔ | ΔAL| (Spearman) | ρ = 0.629 | – | – | <0.001 | 651 | 65 |
| 6 | AL → BCVA (logMAR/mm) | −0.022 | 0.021 | (−0.062, 0.019) | 0.298 | 113 | 63 |
1Patient-level analysis (patients with complete bilateral AL data). GEE, generalized estimating equations with exchangeable correlation structure; SE, standard error; AL, axial length; AL/CR, axial length/corneal radius ratio; BCVA, best-corrected visual acuity.