Table 4. Logistic regression analysis of kidney-transplant patients for rejection.
| Predictor | β | SE β | Wald x2 | p | eβ (OR) | 95% CI for eβ | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| HLA-G +3010 (Categorical variable) | --- | --- | 11.054 | 0.004 | --- | --- | --- |
| HLA-G +3010 CG | 1.664 | 0.630 | 6.969 | 0.008 | 5.278 | 1.535 | 18.148 |
| HLA-G +3010 GG | -0.470 | 0.806 | 0.340 | 0.560 | 0.625 | 0.129 | 3.035 |
| Constant | -0.916 | 0.483 | 3.598 | 0.058 | 0.400 | ||
| Overall model evaluation | Null model | Predicted model | |||||
| -2 Log likelihood | 87.720 | 75.304 | |||||
| Wald test | 0.995 | 3.598 | |||||
| Coefficient constant | 0.251 | -0.916 | |||||
| Goodness-of-fit test | p | ||||||
| Hosmer & Lemeshow | 1.000 | ||||||
| Cox and Snell R | 0.176 | ||||||
| Nagelkerke R2 | 0.236 | ||||||
Binary Logistic Regression (method: forward stepwise conditional). Analysis performed with genotypes for KTN (coded as “0”; n = 36) versus KTR (coded as “1”; n = 28). Predicted logit (equation) of rejection = (-0.916) + (1.664)* (HLA-G +3010 CG) + (-0.470) * (HLA-G +3010 GG). The contrast of categorical variables and their references were respectively the indicator and the last subcategory according to codes described in available file “Data set.xlsx”. HLA-G +3010 categorical variable had as reference HLA-G +3010 CC genotype. KTN: Kidney-transplant patients with no rejection. KTR: Kidney-transplant patients who developed episodes of rejection. OR: Odds Ratio. CI: Confidence Interval.