Skip to main content
. 2022 May 11;22(2):e00547. doi: 10.34172/jrhs.2022.82

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.