Table 2.

Logistic Regression Results.

	Model 1					Model 2					Model 3
	β	SE	P-value	Exp(β)	95% CI	β	SE	P-value	Exp(β)	95% CI	β	SE	P-value	Exp(β)	95% CI
Gender	.18	0.21	.38	1.20	0.80-1.82	.52	0.24	.03	1.69	1.06-2.69	.40	0.22	.07	1.49	0.97-2.29
Race	−.51	0.31	.10	.60	0.33-1.11	−.57	0.33	.09	.57	0.30-1.09	−.77	0.31	.01	0.46	0.25-0.86
Age	−.02	0.01	.03	.98	0.96-1.0
12-Step						.61	0.29	.04	1.85	1.04-3.28
Relapse											−1.17	0.28	<.001	0.31	0.18-0.54
Constant	.81	0.44	.07	2.25		−.58	0.30	.05	.56		.12	0.16	.47	1.12
	n =376					n = 306					n = 366
	Nagelkerke R2 = .04					Nagelkerke R2 = .05					Nagelkerke R2 = .09
	β2 = 11.31 (3), P = .01					β2 = 12.53 (3), P = .006					β2 = 26.17 (3), P < .001