Table 1.
ANOVA model evaluation for GMV
| GMV ~ | ||||
|---|---|---|---|---|
| Model | Null | Age | Age + Sex | Age + Sex + CyClo |
| CyClo2 | *** | |||
| Sex | *** | *** | ||
| Age | *** | *** | *** | |
| Constant | *** | *** | *** | *** |
| AICBIC | −4,875 | −5,129 | −5,188 | −5,201 |
| −4,860 | −5,109 | −5,163 | −5,171 | |
Parameter selection tests. The linear mixed-effects model with the smallest AIC and BIC score is model 4 that takes into account all 3 parameters (age, sex, and CyClo). ANOVA of models 3 and 4 returns significant P < 0.001***.
Random effect = subject ID.
*P < 0.05; **P < 0.01; ***P < 0.001.