Table 4.
APS factors and prediction of probands vs siblings final model
| Factors entered at each step | β | S.E. | Wald | P | Exp(β) | 95% C.I. Exp(β) | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Step 1 | |||||||
| Depression in remission | −1.67 | 0.99 | 2.86 | .091 | 0.19 | 0.03 | 1.31 |
| APS negative/anxious factor | 1.25 | 0.48 | 6.80 | .009 | 3.48 | 1.36 | 8.86 |
| Constant | 0.87 | 0.88 | 0.99 | .320 | 2.39 | ||
| Step 2 | |||||||
| Depression in remission | 0.35 | 1.37 | 0.07 | .798 | 1.42 | 0.10 | 20.88 |
| APS negative/anxious factor | 2.34 | 0.85 | 7.63 | .006 | 10.41 | 1.97 | 54.91 |
| APS positive factor | 2.77 | 1.13 | 5.98 | .014 | 15.94 | 1.73 | 146.53 |
| Constant | −0.65 | 1.05 | 0.38 | .540 | 0.52 | ||
Note: Logistic Regression Forward Step Entry: APS negative/anxiety, APS functioning, and APS positive factors. df = 1. Overall classification accuracy = 64.7%.