Table 2.

Area Under the Receiver Operating Characteristic Curve for each logistic regression model with goodness of fit assessment.

Model	TrainSet AUROC	95% CI	ValidSet AUROC	95% CI	Chi Square Test	p-value	TrainSet BIC	ValidSet BIC
1	0.77	0.76–0.77	0.77	0.76–0.77	0.14	0.71	61119	61043
2	0.81	0.80–0.81	0.81	0.81–0.81	0.36	0.55	58448	58522
3	0.81	0.80–0.81	0.81	0.81–0.81	0.35	0.56	58409	58470
4	0.82	0.82–0.83	0.83	0.82–0.83	0.14	0.71	56965	57053
5	0.83	0.83–0.83	0.83	0.83–0.83	0.06	0.81	56414	56471
6	0.83	0.83–0.83	0.83	0.83–0.83	0.05	0.82	56381	56436

TrainSet =Training Set, ValidSet=Validation Set AUROC = Area Under Receiver Operating Characteristic Curve, 95% CI= 95% confidence interval, BIC= Bayesian information criterion.