Table 2. Summary Statistics of the Models Used to Describe Changes in Serum, Plasma, and Urine of UC and CD Patients and Healthy Personsa.
data set | model | Apred | Aorth | R2X | R2Y | Q2YCV |
---|---|---|---|---|---|---|
serum | UC:control | 1 | 1 | 0.29 | 0.798 | 0.53 |
CD:control | 1 | 4 | 0.508 | 0.963 | 0.84 | |
CD:UC | 1 | 0 | 0.142 | 0.39 | 0.0249 | |
plasma | UC:control | 1 | 1 | 0.312 | 0.772 | 0.613 |
CD:control | 1 | 1 | 0.381 | 0.789 | 0.67 | |
CD:UC | 1 | 0 | 0.157 | 0.386 | 0.115 | |
urine | UC:control | 1 | 5 | 0.466 | 0.997 | 0.688 |
CD:control | 1 | 0 | 0.143 | 0.785 | 0.528 | |
CD:UC | 0 | 0 | 0 | 0 | 0 | |
hierarchical | UC:control | 1 | 0 | 0.221 | 0.749 | 0.685 |
CD:control | 1 | 1 | 0.366 | 0.728 | 0.635 | |
CD:UC | 1 | 0 | 0.227 | 0.376 | 0.23 |
Apred, number of Y-predictive components; Aorth, number of Y-orthogonal components; R2X, explained variance of X; R2Y, explained variance of Y; Q2YCV, predicted variance of Y estimated using cross-validation. R2X and R2Y show how well the model explains the variation in X and Y, respectively. Q2Y represents the quality and predictive power of the model.