Table 4. SAS GEE Models Sex Risk.
| Dependent Variable | Predictor | Model coefficient | SE | OR/IRR | 95% CI | p value |
|---|---|---|---|---|---|---|
| # Days with no condom used with non-steady partner (SEXRISK)1 | ||||||
| Female (vs. male) | -0.112 | 0.268 | 0.894 | 0.529, 1.511 | 0.675 | |
| Baseline SEXRISK | 1.691 | 0.260 | 5.422 | 3.261, 9.016 | 0.000 | |
| Site 2 (vs. Site 1) | 0.034 | 0.258 | 1.034 | 0.624, 1.716 | 0.896 | |
| MI (vs. BA) | -1.008 | 0.257 | 0.365 | 0.221, 0.604 | 0.000 | |
| Time (Centered) | -0.061 | 0.149 | 0.941 | 0.703, 1.259 | 0.681 | |
| Time × MI int. | 0.054 | 0.261 | 1.056 | 0.633, 1.761 | 0.835 | |
| Any sex without a condom with non-steady partner (ANYRISK)2 | ||||||
| Female (vs. male) | -0.088 | 0.209 | 0.916 | 0.608, 1.380 | 0.676 | |
| Baseline SEXRISK | 1.318 | 0.250 | 3.737 | 2.291, 6.096 | 0.000 | |
| Site 2 (vs. Site 1) | -0.015 | 0.207 | 0.985 | 0.657, 1.479 | 0.944 | |
| MI (vs. BA) | -0.522 | 0.209 | 0.594 | 0.394, 0.894 | 0.013 | |
| Time (Centered) | -0.233 | 0.118 | 0.792 | 0.628, 0.999 | 0.049 | |
| Time × MI int. | 0.079 | 0.199 | 1.082 | 0.732, 1.599 | 0.691 | |
| # sex days w/ alcohol or drugs (SUI DAYS)1 | ||||||
| Female (vs. male) | -0.319 | 0.153 | 0.727 | 0.539, 0.981 | 0.037 | |
| Baseline SUI DAYS | 1.100 | 0.174 | 3.005 | 2.135, 4.230 | 0.000 | |
| Site 2 (vs. Site 1) | 0.040 | 0.151 | 1.041 | 0.774, 1.401 | 0.791 | |
| MI (vs. BA) | -0.319 | 0.149 | 0.727 | 0.543, 0.974 | 0.033 | |
| Time (Centered) | 0.026 | 0.057 | 1.027 | 0.918, 1.148 | 0.644 | |
| Time × MI int. | -0.053 | 0.094 | 0.948 | 0.788, 1.141 | 0.573 | |
Note: Non-steady partner = A non-committed relationship, in which you had sex one or more times, and you have the understanding that your partner may have sex with other people.
1
Count variable analyzed using negative binomial distribution; effect size is the incidence rate ratio.
2
Dichotomous variable; effect size is expressed as an odds ratio.