Table 2. Logistic Regression coefficients and odd ratios for the non-PCR set.
This table shows the coefficients of the logistic regression model that results from backward variable selection with AIC, applied on the non-PCR sets. The interpretation of coefficients, P-values, odd-ratios and confidence intervals is the same as in Table 1.
| Variable | Coefficient | P-value | Odds ratio | 95% CI |
|---|---|---|---|---|
| Temperature | 2.420×10−1 | < 2×10−16 | 1.274 | [1.237, 1.311] |
| CRE | 2.324×10−4 | 0.038449 | 1.0002 | [1.00001, 1.0004] |
| tCO2 | -2.392×10−2 | < 2×10−16 | 0.976 | [0.971, 0.981] |
| BUN | -8.988×10−3 | 0.000879 | 0.991 | [0.986, 0.996] |
| Diarrhea | 4.628×10−1 | < 2×10−16 | 1.588 | [1.497, 1.686] |
| Weakness | -2.080×10−1 | 3.76×10−11 | 0.812 | [0.767, 0.863] |
| Vomit | 3.063×10−1 | < 2×10−16 | 1.358 | [1.279, 1.443] |