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. Author manuscript; available in PMC: 2012 Apr 1.
Published in final edited form as: Drug Alcohol Depend. 2010 Oct 28;114(2-3):119–126. doi: 10.1016/j.drugalcdep.2010.09.009

Table 1.

GLM results for AA attendance (0-3m) predicting transformed PDA and DDD (13-15m) for the Outpatient and Aftercare samplesa

Variable b (se) t (df) p
Outpatient Sample
baseline PDA .0046(.0005) 8.36(398) <.0001
Lagged AA attendance .0046(.0007) 5.83(409) <.0001

Aftercare Sample
baseline PDA .0021(.0006) 3.21(481) .0014
Lagged AA attendance .0034(.0005) 6.49(462) <.0001

Outpatient Sample
baseline DDD .0269(.0025) 4.33(462) <.0001
Lagged AA attendance -.0124(.0025) -4.99(362) <.0001

Aftercare Sample
baseline DDD .0237(.0052) 6.56(457) <.0001
Lagged AA attendance -.0118(.0018) -6.37(465) <.0001
a

Control variables included in the models but not shown above include age, gender, ethnicity, marital status, employment status, number of prior alcohol treatments, treatment assignment, baseline network support/activity variables. PDA=Percent Days Abstinent; DDD=Drinks per Drinking Day.