Table 3:
Clinical factors/ EEG variables | Odds Ratio |
95% confidence interval |
P value |
---|---|---|---|
Qualitative EEG analysis (AIC* = 100.1) | |||
Standardized age | 0.46 | 0.25, 0.86 | 0.015 |
Brain volume score 7 or 8 | 9.14 | 2.58, 32.4 | 0.001 |
Average background voltage | 0.48 | 0.25, 0.93 | 0.029 |
Asymmetry present | 5.47 | 1.56, 19.2 | 0.008 |
Background attenuated or suppressed | 13.8 | 3.14, 60.7 | 0.001 |
Quantitative EEG analysis (AIC = 91.3) | |||
Standardized age | 0.37 | 0.17, 0.77 | 0.008 |
Brain volume score 7 or 8 | 14.3 | 3.47, 59.1 | <0.001 |
Low delta to total delta ratio | 2.02 | 0.92, 4.40 | 0.079 |
Alpha Power | 0.21 | 0.07, 0.58 | 0.003 |
Theta-plus-alpha to delta ratio | 3.10 | 1.37, 6.98 | 0.006 |
Theta-alpha variability | 0.32 | 0.15, 0.70 | 0.004 |
AIC quantifies strength of fit between a group of independent variables and the dependent variable. Models including many independent variables are penalized, thus avoiding overcomparison. When comparing models, the one with the lower AIC value has better goodness of fit.