Table 3.
CON group only1 | MCI group only2 | AD group only3 | |
---|---|---|---|
| |||
24-month | N=156 | N=222 | N=101 |
| |||
Total expansion (cubic mm) | 4,5F-ratio=3.291 | F-ratio=6.136 | F-ratio=2.552 |
p=0.040 | p=0.003 | p=0.083 | |
| |||
Left expansion rate | F-ratio=4.502 | F-ratio=10.573 | F-ratio=3.863 |
p=0.013 | p<0.001 | p=0.024 | |
| |||
Right expansion rate | F-ratio=3.843 | F-ratio=9.524 | F-ratio=3.733 |
p=0.024 | p<0.001 | p=0.027 |
The number of ApoE-ε4 alleles (0, 1, or 2) was used to predict variations in ventricular expansion in healthy elderly only, with age and sex regressed out.
The number of ApoE-ε4 alleles was used to predict variations in ventricular expansion in the MCI group only, with age and sex regressed out.
The number of ApoE-ε4 alleles was used to predict variations in ventricular expansion in AD patients only, with age and sex regressed out.
In multiple regressions, the F-ratio is used to test the hypothesis that the slopes of the regression lines are 0. The F is large when the independent variable helps to explain the variation in the dependent variable, independently of the other explanatory variables that are regressed out. For instance, here reject the hypothesis that the slope of the regression line is 0 (F-ratio=3.291, p=0.040), meaning that there is a significant linear relation between the number of ApoE-ε4 alleles carried and total ventricular expansion at 24-month follow-up within the control group, after controlling for age, sex, and diagnosis.
Bold font indicates significant results (p<0.05), and regular font indicates results that did not reach statistical significance.