Table 5: Bivariate logistic regression model for DRS-2-Memoryprediction of positive AD biomarkers in CSF.
|
|
B coeficient |
SE |
Wald |
p |
Odds Ratio* |
95% Confidencie Intervale |
Model equation |
Nagelkerke R2 (%) |
|
Model |
|
|
|
|
|
|
|
|
|
DRS-2 - Memory |
-2.012 |
1.139 |
3.123 |
0.077 |
0.134 |
0.14-1.245 |
χ2(4) =19.769, p<0.001
|
79.1 |
|
Sex |
1.587 |
2.162 |
0.539 |
0.463 |
4.887 |
0.71-338.116 |
||
|
Education |
0.340 |
0.328 |
1.076 |
0.300 |
1.406 |
0.739-2.674 |
||
|
Age |
0.009 |
0.113 |
0.007 |
0.935 |
1.009 |
0.809-1.245 |
||
|
Constant |
-7.962 |
6.213 |
1.642 |
0.200 |
<0.001 |
|
Outcome = prediction of progression to all-cause dementia; Reasonable fit by the Hosmer and Lemes how Test for all models; 1 degree of freedom for each model variable.
* - exponentiation of the B coefficient, which is an odds ratio in the settings of this type of model
DRS-2: Dementia Rating Scale-2; SR: Sentence Repetition.