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Table 3 Validation of PLS-DA and O-PLS-DA models

From: Metabonomics uncovers a reversible proatherogenic lipid profile during infliximab therapy of inflammatory bowel disease

Model

PLS-DA

permutation test n = 200

O-PLS-DA

CV-ANOVA

Area under the ROC curve

CD(0) vs. UC(0)

Q2 = 0.095

Q2 = –0.182

0.44

×

× P = 1

CD(0) vs. Control

Q2 = 0.637, r = 0.32

Q2 = 0.7

0.96

P < 0.001

UC(0) vs. Control

Q2 = 0.583, r = 0.32

Q2 = 0.383

0.94

P < 0.001

CD Rem(0) vs. Control

Q2 = 0.63, r = 0.37

Q2 = 0.66

0.96

P < 0.001

CD Rem(2) vs. Control

Q2 = 0.69, r = 0.37

Q2 = 0.66

0.95

P < 0.001

CD Rem(6) vs. Control

Q2 = 0.52, r = 0.37

Q2 = 0.63

0.91

P < 0.001

CD Rem(14) vs. Control

Q2 = 0.48, r = 0.40

Q2 = 0.62

0.90

P < 0.001

UC Rem(0) vs. Control

Q2 = 0.56, r = 0.47

Q2 = 0.60

0.91

P < 0.001

UC Rem(2) vs. Control

Q2 = 0.60, r = 0.48

Q2 = 0.60

0.94

P < 0.001

UC Rem(6) vs. Control

Q2 = 0.25

Q2 = 0.52

0.71

×

P < 0.001

UC Rem(14) vs. Control

Q2 = 0.17

Q2 = 0.37

0.64

×

P < 0.001

  1. The models were only considered valid if the permutation test and the CV-ANOVA test (p < 0.05) were satisfied at the same time
  2. (0), before 1st infusion of infliximab; (2), before 2nd infusion; (6), before 3rd infusion; (14), before 4th infusion
  3. Q2, predictability of the model; r correlation coefficient
  4. , valid model
  5. X invalid model
  6. CD Crohn’s disease, CV-ANOVA analysis of variance of the cross-validated residuals, O-PLS-DA orthogonal-projection to latent structure discriminant analysis, PLS-DA projection to latent structure-discriminant analysis, Rem remission, ROC receiver operating characteristics, UC ulcerative colitis