From: Semiparametric modelling of diabetic retinopathy among people with type II diabetes mellitus
Predictors | Levels | Df | \(\hat{\beta }\) (se) | \(p-value\) | AOR | 95%CI |
---|---|---|---|---|---|---|
Intercept | Â | 1 | -4.30 (0.83) | \(<0.0001\) | Â | Â |
Gender | Male | 1 | 1.27 (0.58) | \(0.0280^*\) | 3.5 | [1.14, 11.09] |
Hypertension | yes | 1 | 3.66 (0.70) | \(<0.0001\) | 38.9 | [9.85, 153.23] |
IT | yes | 1 | 1.84 (0.63) | \(0.0040^*\) | 6.2 | [1.81, 13.84] |
FCV | every 3 month | 1 | 2.17 (0.73) | \(0.0020^*\) | 8.7 | [2.13, 35.9] |
 | every 6 month | 1 | 1.91 (0.72) | \(0.0080^*\) | 6.7 | [1.63, 27.41] |
Nonlinear Terms | Â | Â | Â | Â | Â | Â |
\(f_{gender}(age)\) | Female | 3.2 | Â | \(0.0357^*\) | Â | Â |
\(f_{gender}(age)\) | Male | 1.0 | Â | 0.2386 | Â | Â |
f(DD) | Â | 2.7 | Â | \(0.0059^*\) | Â | Â |
\(f_{gender}(CL)\) | Female | 3.6 | Â | \(0.0166^*\) | Â | Â |
\(f_{gender}(CL)\) | Male | 3.7 | Â | 0.1321 | Â | Â |
f(HbA1c) | Â | 2.3 | Â | \(0.0020^*\) | Â | Â |
f(FBG) | Â | 1.0 | Â | 0.2784 | Â | Â |
f(HbA1c, FBG) | Â | 3.7 | Â | \(0.0500^*\) | Â | Â |