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. 2016 May 20;2(1):e000245. doi: 10.1136/rmdopen-2016-000245

Table 3.

Likelihood and discriminative properties of different models

Model BIC R2 Nagelkerke Hosmer-Lemeshow test AUC (95% CI) Mean predicted probability cases/non-cases Integrated discrimination improvement (p value)
ESPOIR 265.89 0.17 0.95910 0.75 (0.70 to 0.84) 0.20/0.10
mESPOIR 239.59 0.30 0.54740 0.82 (0.76 to 0.89) 0.29/0.09 −0.101 (p=0.3)
SONORA 264.55 0.00 0.00709 0.76 (0.68 to 0.83) 0.33/0.22 −0.008 (p=0.5)
SONORArecalculated 262.76 0.00 0.00019 0.76 (0.69 to 0.83) 0.06/0.04  0.079 (p=0.7)
BEST 1234.82 0.00 0.00023 0.73 (0.65 to 0.81) 0.90/0.78 −0.010 (p=0.5)
BESTrecalibrated 449.76 0.00 0.00008 0.73 (0.64 to 0.80) 0.61/0.40 −0.102 (p=0.4)
ASPIRE ESR 269.79 0.00 0.00635 0.54 (0.45 to 0.64) 0.17/0.15  0.091 (p=0.7)
ASPIRE ESRrecalibrated 464.10 0.00 0.00085 0.54 (0.46 to 0.64) 0.45/0.43 0.082 (p=0.6)
ASPIRE CRP 268.91 0.00 0.24880 0.62 (0.54 to 0.69) 0.21/0.18 0.067 (p=0.6)
ASPIRE CRPrecalibrated 574.03 0.00 0.00052 0.62 (0.41 to 0.60) 0.59/0.52 0.035 (p=0.6)

Integrated discrimination improvement is calculated as (average predicted probability cases—average predicted probability controls)new model—(average predicted probability cases—average predicted probability controls)original ESPOIR model. A positive value indicates that the new model provides an improvement over the original ESPOIR model.

AUC, area under the receiver operating characteristic curve; BIC, Bayesian Information Criterion; CRP, C reactive protein; ESR, erythrocyte sedimentation rate.