Table 2.
Goodness-of-fit measures for various cut-offs for the delay in reporting among fever cases using hospital-based survey data (N = 350)
| Goodness-of-fit parameters | Logistic models with various cut-offs for delay | |||
|---|---|---|---|---|
| > 2 days | > 3 days | > 4 days | > 5 days | |
| Overall model fit | ||||
| Log likelihood | − 195.8208 | − 230.0087 | − 207.0900 | −171.8360 |
| AIC | 417.6415 | 486.0173 | 440.1800 | 369.6721 |
| BIC | 467.7946 | 536.1704 | 490.3331 | 419.8252 |
| Hosmer-Lemeshow test p-value | 0.5965 | 0.5136 | 0.4436 | 0.2497 |
| Model discrimination | ||||
| ROC area | 0.6748 | 0.6474 | 0.6626 | 0.6430 |
| Somers’ D statistic | 0.3495 | 0.2947 | 0.3253 | 0.2860 |
| Model classification | ||||
| Sensitivity | 0.9639 | 0.6222 | 0.1339 | 0.0000 |
| Specificity | 0.1485 | 0.6118 | 0.9370 | 100.00 |
| Positive predictive value (PPV) | 0.7362 | 0.6292 | 0.5000 | 0.0000 |
| Negative predictive value (NPV) | 0.6250 | 0.6047 | 0.6969 | 0.7914 |
| Correctly classified | 0.7286 | 0.6171 | 0.6800 | 0.7914 |
| Model calibration | ||||
| Brier score | 0.1876 | 0.2327 | 0.2031 | 0.1585 |
| CITL | −2.63E-10 | 4.90E-08 | 4.95E-08 | −7.06E-08 |
| E/O ratio | 1 | 1 | 1 | 1 |
| C-slope | −1.79E-08 | −9.34E-10 | −4.49E-09 | 1.26E-08 |
AIC Alike information criterion, BIC Bayesian information criterion, ROC receiver operation characteristic, CITL calibration-in-the-large, E/O expected/observed, C-slope: calibration-slope