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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)

From: Determination of cut-off and correlates of delay in treatment-seeking of febrile illness: a retrospective analysis

Goodness-of-fit parametersLogistic 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
  1. 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