Table 3.
Comparison of IICV components to IICV. Used Akaike Information Criterion (AIC) stepwise backward selection to examine contribution of IICV and individual components of IICV to model fit.
Predictors and order dropped, or P-Value of retained | ||||||
---|---|---|---|---|---|---|
Baseline Diagnostic Status | Selection criteria | IICV | Trails A | Trials B | ANART | RAVLT |
MCI or Cognitively Healthy N=1307 |
AIC | 0.0153 | 1st | 0.0001 | 0.0028 | <0.0001 |
MCI N=814 |
AIC | 0.0060 | 1st | <0.0001 | 0.0003 | <0.0001 |
Note: P-values provided by AIC models indicate whether predictors offer predictive value, not the magnitude of added value.
Abbreviations:
MCI: Mild Cognitive Impairment
IICV: Intra-individual cognitive variability
ANART: American National Adult Reading Test
RAVLT: Rey Auditory Verbal Learning Test
AIC: Akaike Information Criterion