Table 2. Results of the GLMM for dichotomized MC (‘disease progression’: Yes / No) and the following input variables: DCV, dFV, sCV and sFV.
| Estimate | Std. Error | P | |
|---|---|---|---|
| (Intercept) | -.782 | .42488 | .06569 |
| dCV | .40383 | .14461 | .00523** |
| dFV | -.08750 | .06032 | .14689 |
| sCV | .21685 | .11967 | .06999 |
| sFV | .02769 | .02171 | .20227 |
dCV = absolute change of CV between two consecutive MRI time points, dFV = absolute change of FV between two consecutive MRI time points, sCV = regional, segmentation-based subtractions of CV between two consecutive MRI time points, sFV = regional, segmentation-based subtractions of FV between two consecutive MRI time points; Asterisks indicate significant results:
** P < .01