Table 4 –
Linear Regression Model Results for the Final Model with Leave-One-Out Cross Validation. NA indicates independent factors not selected in >5% of iterations in leave-one-out procedure.
|
|
Linear Regression Model Results |
LOO Regression Model |
||||||
|---|---|---|---|---|---|---|---|---|
| Est. | Std. Error | tStat | pValue | Adj. R2 (P-value) | T | % iterations | ||
|
| ||||||||
| Final | (Intercept) | 82.0 | 13.7 | 6.0 | <.00001 | .55 (<.00001) | ||
| Model | WAIS Matrices score | 1.3 | 0.5 | 2.8 | .007** | 2.7 | 100% | |
| Time Post-Stroke(mos) | 5.8 | 1.9 | 3.1 | .003** | 3.0 | 100% | ||
| Age at Stroke(yrs) | −0.3 | 0.2 | −1.7 | .09 | NA | NA | ||
| Total Fazekas | −2.8 | 1.1 | −2.5 | .02* | −2.5 | 100% | ||
| Total Lesion Volume(mm3) | 1.8E-5 | 2.7E-5 | −0.7 | .52 | NA | NA | ||
| Prop. Damage to Critical ROIs | −49.0 | 8.2 | −6.0 | <.00001** | −6.0 | 100% | ||
*
p < .05;
**
p < .01.