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Table 4 Classifier performance assessed via leave-one-batch-out cross validation

From: Blood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis

Left out data set

Treatment

Patient breakdown

AUROC(95 % CI)

Specificity(95 % CI)

Sensitivity(95 % CI)

Precision(95 % CI)

Likelihood ratio(95 % CI)

GSE12051

Infliximab

7 NR, 37 R

82 %**(66-98 %)

97 %(86-100 %)

14 %(0-58 %)

50 %(1-99 %)

5.29(0.4-74.9)

GSE19821

Infliximab

5 NR, 10 R

90 %**(74-100 %)

100 %(59-100 %)

40 %(5-85 %)

100 %(9-100 %)

∞(N/A)

GSE58795

Infliximab

7 NR, 23 R

57 %(26-87 %)

91 %(72-99 %)

43 %(10-82 %)

60 %(15-95 %)

4.93(1.0-23.8)

GSE33377

Infliximab

13 NR, 14 R

57 %(34-80 %)

86 %(57-98 %)

31 %(9-61 %)

67 %(22-96 %)

2.15(0.5-9.9)

  1. Leave-one-batch-out cross validation performance for a classifier trained on three of the four whole blood infliximab data sets, and tested on the left-out data set. The likelihood ratio for GSE19821 is infinite and the confidence interval cannot be calculated because no responders were labeled as non-responders by the classifier
  2. R, responder; NR, non-responder; CI, confidence interval. ** indicates AUROC p-value < 0.01