Table 3. Multivariable analysis using the Clayton copula model .
Variables | Estimate | SE | P value | HR (95% CI) |
Age (y) | ||||
≤ 43 | Ref. | |||
44-69 | 0.38 | 0.24 | 0.089 | 1.46 (0.91, 2.33) |
≥ 70 | 0.46 | 0.22 | 0.016 | 1.58 (1.98, 2.41) |
Gender | ||||
Female | Ref. | |||
Male | 0.36 | 0.21 | 0.089 | 1.44 (0.95, 2.19) |
Residence | ||||
Rural | Ref | |||
Urban | 0.49 | 0.18 | 0.008 | 1.64 (1.14, 2.36) |
Diabetes mellitus | ||||
Non-Diabetic | Ref. | |||
Diabetic | 0.41 | 0.15 | 0.007 | 1.51 (1.12, 2.05) |
Duration of treatment (y) | ||||
< 1 | Ref. | |||
1-5 | -0.32 | 0.20 | 0.106 | 0.73 (0.49, 1.07) |
> 5 | -0.31 | 0.16 | 0.057 | 0.73 (0.53, 1.01) |
Stage of Glaucoma | ||||
Early | Ref. | |||
Moderate | 0.72 | 0.30 | 0.0176 | 2.06 (1.13, 3.73) |
Advanced | 0.84 | 0.28 | 0.003 | 2.31 (1.33, 4.01) |
Hypertension | ||||
No | Ref. | |||
Yes | 0.35 | 0.15 | 0.019 | 1.42 (1.06, 1.91) |
η | 0.54 | 0.21 | 0.011 |
Source: Alert Hospital, Addis Ababa, Ethiopia; from January 1, 2018 to December 30, 2021.
η: Copula parameter.