Table 3.
Bivariate analysis of model performance by dataset.
| Observed | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Predicted | N | Deceased 1 | Alive 1 | X2 | p 2 | SS 95%CI 3 | SP 95%CI 4 | PPV 95%CI 5 | NPV 95%CI 6 | OR 95%CI 7 |
| Training | 556 | 140 | 2.1 × 10−32 | 97 (92, 99) | 64 (59, 68) | 44 (38, 50) | 99 (96, 100) | 48 (18, 125) | ||
| High risk | 122 (97%) | 156 (36%) | ||||||||
| Low risk | 4 (3.2%) | 274 (64%) | ||||||||
| Test | 138 | 24 | 9.8 × 10−7 | 90 (74, 98) | 62 (52, 71) | 41 (29, 53) | 96 (88, 99) | 13 (4, 42) | ||
| High risk | 28 (90%) | 41 (38%) | ||||||||
| Low risk | 3 (9.7%) | 66 (62%) | ||||||||
1 n (%), 2 Pearson’s chi-squared test, 3 sensitivity, confidence interval, 4 specificity, confidence interval, 5 positive predictive value, confidence interval, 6 negative predictive value, confidence interval, 7 odds ratio, and confidence interval.