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Table 2 Model performance for logit with addition of log HLOS and ROD (NC: not computed)

From: Modelling hospital outcome: problems with endogeneity

Model title

Logit1: lnday

Logit1: lnrod

Logit2: lnday

Logit2: lnrod

Logit3:lnday

Logit3:lnrod

Index

 ROC AUC

0.921

0.934

0.923

0.936

0.917

0.935

 H-L statistic; P-value

0.000

0.060

0.000

0.013

0.000

0.054

 Out-of-sample shrinkage %

0.940

0.020

−1.370

0.750

  

 In-sample-shrinkage %

0.380

−0.500

−2.350

−0.380

  

 Overfitting %

0.560

0.510

0.960

1.120

  

 Calibration belt: P-value

0.000

NC

0.000

0.000

0.000

0.000

 AIC

31,306.41

30,574.13

31,077.06

30,492.24

31,148.98

30,523.52

 BIC

322,421.1

31,489.52

33,039.96

32,455.96

32,073.81

31,448.36

Development set

 CITL

    

0.005

0.017

 C-slope

    

1.005

1.004

 AUC

    

0.923

0.935

 E:O ratio

    

0.997

0.998

Validation set

 CITL

    

0.005

0.017

 C-slope

    

1.005

1.004

 AUC

    

0.923

0.935

 E:O ratio

    

0.997

0.990