Table 3. Characteristics of the three PLS-DA models: Number of latent variables, variance explained in X (fall risk factors) and Y (fall-status), and classification accuracy of fallers and non-fallers.
| Model |
Factors included | Number of LV’s | X-block (%) | Y-block (%) | Sensitivity (%) | Specificity (%) | AUC | |
|---|---|---|---|---|---|---|---|---|
| 1 | Patient characteristics | 3 | LV1 | 23.7 | 32.5 | 92 | 60 | 0.86 |
| LV2 | 15.0 | 6.5 | ||||||
| LV3 | 15.9 | 0.7 | ||||||
| Sum | 54.5 | 39.7 | ||||||
| 2 | Patient characteristics + cognition | 3 | LV1 | 15.1 | 34.5 | 89 | 72 | 0.90 |
| LV2 | 13.1 | 9.5 | ||||||
| LV3 | 20.5 | 2.1 | ||||||
| Sum | 48.7 | 46.1 | ||||||
| 3 | Patient characteristics + cognition + gait | 5 | LV1 | 31.8 | 33.6 | 92 | 80 | 0.93 |
| LV2 | 7.8 | 13.5 | ||||||
| LV3 | 18.4 | 1.3 | ||||||
| LV4 | 7.5 | 1.4 | ||||||
| LV5 | 5.3 | 0.8 | ||||||
| Sum | 52.4 | 50.7 | ||||||
LV = Latent Variable; AUC = Area Under the Curve.