Table 3.
Logistic regression analysis of poisoned patients for outcome.
| Predictor | B | SE | Wald | Df | Sig. | Exp (B) | 95% CI for exp (B) |
|---|---|---|---|---|---|---|---|
| Constant | −0.982 | 1.098 | 0.800 | 1 | 0.371 | 0.374 | NA |
| Groups | −0.247 | 0.186 | 1.775 | 1 | 0.183 | 0.781 | 0.543, 1.124 |
| Age | 0.028 | 0.025 | 1.294 | 1 | 0.255 | 1.029 | 0.98, 1.08 |
| Sex | −0.171 | 0.59 | 0.084 | 1 | 0.772 | 0.843 | 0.265, 2.679 |
| First aid | −0.864 | 1.14 | 0.574 | 1 | 0.449 | 0.421 | 0.045, 3.939 |
| Arrival lag | −0.002 | 0.009 | 0.071 | 1 | 0.79 | 0.998 | 0.98, 1.015 |
| Outside Rx | −0.086 | 0.598 | 0.02 | 1 | 0.886 | 0.918 | 0.284, 2.964 |
| Indoor lag | 0.000 | 0.005 | 0.002 | 1 | 0.963 | 1.000 | 0.991, 1.009 |
| Model summary section | |||||||
| −2 log likelihood | 91.464 | ||||||
| Cox & Snell R2 | 0.049 | ||||||
| Nagelkerke R2 | 0.078 | ||||||
| Test | Chi-square | Df | p-value | ||||
| Omnibus test of model coefficients | 4.928 | 7 | 0.669 | ||||
| Hosmer and Lemeshow’s goodness-of-fit test | 4.632 | 8 | 0.796 | ||||
| Classification table | |||||||
| Observed | Predicted |
||||||
| Recovered | Died | % Correct | |||||
| Recovered | 79 | 0 | 100 | ||||
| Died | 19 | 0 | 0 | ||||
| Overall percentage | 80.6 | ||||||
| Cut value = 0.500 | |||||||
CI: confidence interval; Df: degrees of freedom.