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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: J Consult Clin Psychol. 2016 Mar 17;84(7):580–591. doi: 10.1037/ccp0000097

Table 3. SAS GEE Models Alcohol Outcomes.

Dependent Variable Predictor Model coefficient SE Effect Size d/OR/IRR 95% CI p value
Number of heavy drinking days (NHDD)1
Female (vs. male) -0.349 0.109 0.706 0.570, 0.875 0.001
Baseline NHDD 0.072 0.006 1.074 1.061, 1.088 0.000
Site 2 (vs. Site 1) -0.299 0.111 0.741 0.597, 0.921 0.007
MI (vs. BA) -0.234 0.114 0.791 0.633, 0.990 0.041
Time (Centered) -0.094 0.046 0.91 0.833, 0.995 0.039
Time × MI int. 0.102 0.094 1.107 0.921, 1.332 0.279
Log, Avg # drinks per week (LDKWK)2
Female (vs. male) -0.143 0.045 -0.265 -0.429, -0.100 0.002
Baseline LDKWK 0.456 0.048 0.846 0.673, 1.018 0.000
Site 2 (vs. Site 1) -0.074 0.044 -0.138 -0.299, 0.022 0.090
MI (vs. BA) -0.090 0.044 -0.167 -0.328, -0.006 0.042
Time (Centered) -0.065 0.020 -0.120 -0.193, -0.048 0.001
Time × MI int. 0.018 0.029 0.034 -0.072, 0.140 0.531
CDC Excessive drinking (CDC)3
Female (vs. male) -0.188 0.207 0.828 0.552, 1.243 0.363
Baseline CDC 1.565 0.207 4.781 3.178, 7.171 0.000
Site 2 (vs. Site 1) -0.588 0.204 0.555 0.372, 0.828 0.004
MI (vs. BA) -0.604 0.209 0.547 0.363, 0.824 0.004
Time (Centered) -0.071 0.100 0.931 0.766, 1.133 0.478
Time × MI int. -0.089 0.154 0.915 0.677, 1.238 0.566
FDA Heavy drinking (FDA)3
Female (vs. male) -0.320 0.192 0.726 0.498, 1.059 0.096
Baseline NHDD 1.048 0.268 2.853 1.688, 4.821 0.000
Site 2 (vs. Site 1) -0.185 0.190 0.832 0.573, 1.207 0.332
MI (vs. BA) -0.178 0.190 0.837 0.576, 1.215 0.350
Time (Centered) -0.272 0.099 0.762 0.628, 0.924 0.006
Time × MI int. 0.001 0.151 1.001 0.744, 1.347 0.994
Short Inventory of Problems (SIP)2
Female (vs. male) -0.265 0.334 -0.062 -0.214, 0.091 0.429
Baseline SIP 0.480 0.045 0.112 0.092, 0.132 0.000
Site 2 (vs. Site 1) -0.605 0.330 -0.141 -0.292, 0.010 0.067
MI (vs. BA) -0.602 0.326 -0.140 -0.289, 0.009 0.065
Time (Centered) -0.522 0.139 -0.122 -0.185, -0.058 0.000
Time × MI int. 0.328 0.201 0.076 -0.015, 0.168 0.103
1

Count variable analyzed using negative binomial distribution; effect size is the incidence rate ratio.

2

Normally distributed variable; effect size is in standardized units of the dependent variable (d).

3

Dichotomous variable; effect size is expressed as an odds ratio.