Table 5.
Logistic regression analysis of the interactive effects of ASPD and CM status on treatment dropout.
| Predictor | B | SE (B) | Wald χ2 | OR | 95% CI | |
|---|---|---|---|---|---|---|
| Initial Model* | 15.66 | |||||
| Contract Length | -0.01 | 0.00 | 2.28 | 0.99 | 0.99 – 1.00 | |
| Income | 0.16 | 0.42 | 0.15 | 1.18 | 0.52 – 2.68 | |
| Alcohol Dependence | 0.52 | 0.44 | 1.39 | 1.69 | 0.71 – 4.03 | |
| Marijuana Dependence | 0.66 | 0.55 | 1.46 | 1.94 | 0.66 – 5.67 | |
| Heroin Dependence | -0.47 | 0.50 | 0.89 | 0.63 | 0.24 – 1.66 | |
| Polysubstance Use | -0.01 | 0.45 | 0.00 | 0.99 | 0.41 – 2.42 | |
| ASPD | 0.14 | 0.45 | 0.10 | 1.15 | 0.48 – 2.77 | |
| CM Status** | -1.56 | 0.57 | 7.41 | 0.21 | 0.07 – 0.65 | |
|
| ||||||
| Final Model** | 26.2 | |||||
| CM × ASPD ** | -3.17 | 1.09 | 8.48 | 0.04 | 0.01 – 0.36 | |
*
Indicates p < .05,
**
Indicates p < .01