Table 3.
BMI and baseline D-Ser plasma concentration as predictors of KET
Model | Variables | R2 | R2 Change | F (for Change) | df | p (for Change) | |
---|---|---|---|---|---|---|---|
A | 1 | BMI | 0.353 | 0.353 | 10.35 | 1,19 | 0.005 |
2 | BMI, baseline D-serine | 0.626 | 0.274 | 13.18 | 1,18 | 0.002 | |
B | 1 | Baseline D-serine | 0.596 | 0.596 | 28.01 | 1,19 | <.001 |
2 | Baseline D-serine, BMI | 0.626 | 0.030 | 1.47 | 1,18 | 0.242 |
A: BMI is a significant predictor of outcome (model 1). In addition, D-serinemakes a significant addition to the variance explained by BMI (model 2). B: D-serine is a significant predictor (model 1), but there is no additional variance explained by BMI (model 2)