Table 3.
Generalized Estimating Equation (GEE) Results for Outcomes During Follow-up
| Percentage days abstinent (PDA) (N = 101)
| ||||
|---|---|---|---|---|
| Predictor | d | 95% CI | χ2 | p |
| Treatment condition | .010 | −.372, .392 | 0.003 | .959 |
| Baseline PDA | .127 | −.034, .288 | 2.382 | .123 |
| Baseline non-study SUD tx | .040 | −.122, .201 | 0.231 | .631 |
| Time | −.018 | −.099, .064 | 0.179 | .673 |
|
| ||||
| Treatment x time | −.110 | −.227, .007 | 3.382 | .066 |
| Inventory of Drug Use Consequences (InDUC) (N = 101)
| ||||
|---|---|---|---|---|
| Predictor | d | 95% CI | χ2 | p |
| Treatment condition | −.009 | −.439, .260 | 0.252 | .616 |
| Baseline InDUC | .245 | .078, .411 | 8.313 | .004 |
| Baseline non-study SUD tx | −.048 | −.220, .124 | 0.294 | .588 |
| Time | −.081 | −.149, −.013 | 5.421 | .020 |
|
| ||||
| Treatment x time | .153 | .054, .259 | 9.251 | .002 |
| Patient-reported Dyadic Adjustment Scale (DAS) (N = 98)
| ||||
|---|---|---|---|---|
| Predictor | d | 95% CI | χ2 | p |
| Treatment condition | .126 | −.199, .452 | 0.578 | .447 |
| Baseline partner-reported DAS | .542 | .405, .679 | 60.082 | <.001 |
| Baseline non-study SUD tx | .095 | −.045, .236 | 1.767 | .184 |
| Time | .056 | −.009, .121 | 2.896 | .089 |
|
| ||||
| Treatment x time | −.150 | −.244, −.057 | 9.874 | .002 |
| Partner-reported Dyadic Adjustment Scale (DAS) (N = 97)
| ||||
|---|---|---|---|---|
| Predictor | d | 95% CI | χ2 | p |
| Treatment condition | −.116 | −.467, .235 | 0.419 | .517 |
| Baseline partner-reported DAS | .443 | .307, .579 | 40.799 | <.001 |
| Baseline non-study SUD tx | .107 | −.036, .250 | 2.140 | .144 |
| Linear time | −.246 | −.493, .001 | 3.813 | .051 |
| Quadratic time | .042 | .004, .080 | 4.686 | .030 |
|
| ||||
| Treatment x linear time | −.125 | −.236, −.013 | 4.806 | .028 |
Note. Coding for treatment condition: 0 = group behavioral couples therapy, 1 = standard behavioral couples therapy. An autoregressive dependent variable correlation matrix was used for PDA and DAS, and an unstructured dependent variable correlation matrix was used for InDUC.