Table 4.

Prediction of days using crack in the 30 days prior to 4-month follow-up: Zero-inflated negative binomial regression (N = 261)

	Predictors of crack use (yes/no)				Predictors of days using (if used)
	b	S.E.	t	p	b	S.E.	t	p
MDE in 30 days prior to baseline (y/n)	3.39	1.15	2.94	.003	.01	.44	.02	.987
Used crack in 30 days prior to baseline (y/n)	9.07	5.11	1.77	.076	−.27	.49	−.55	.584
Intervention (y/n)	.95	.90	1.06	.287	−.84	.33	−2.56	.011
Age	−.03	.05	−.76	.448	.03	.02	1.21	.226
Baseline number of lifetime arrests	.13	.04	2.99	.003	.01	.01	1.40	.161
African-American (y/n)	2.17	1.47	1.48	.139	1.29	.48	2.7	.007
Employed at baseline (y/n)	−1.95	.901	−2.16	.030	.60	.41	1.47	.142
Incarcerated at time of follow-up (y/n)	.80	1.22	.66	.507	−.67	.63	−1.08	.282

Note: Significant p-values (< .05) are bolded to allow easy comparison of the predictors of yes/no arrest vs. predictors of number of arrests (if arrested).