Table 3.
Accuracy of 8-week models for predicting 4-month and 12-month weight losses.
Model | 4-month prediction | 12-month prediction | |||||
|
R 2 | ρ | mAUCa | R 2 | ρ | mAUC | |
Baseline variables (ie, age and treatment assignment) | 0.16 | 0.41 | 0.65 | 0.06 | 0.25 | 0.58 | |
App-use (PC1b)+app-calories (PC2c)+self-weighing frequency | 0.31 | 0.58 | 0.74 | 0.07 | 0.29 | 0.57 | |
Baseline variables+app-use (PC1)+app-calories (PC2)+self-weighing frequency | 0.30 | 0.58 | 0.73 | 0.08 | 0.29 | 0.58 | |
4-month weight loss | N/Ad | N/A | N/A | 0.31 | 0.52 | 0.66 |
amAUC: multi-class area under the receiver operating characteristic curve.
bPC1: principal component 1.
cPC2: principal component 2.
dN/A: not applicable.