Table 1:

Model Fit Statistics for Age-Period-Cohort Model of Marijuana Use in the Past Year of the General Population in Chile and Uruguay.^a

	All			Males			Females
Chile	Δ deviance	Δ df	p-value	Δ deviance	Δ df	p-value	Δ deviance	Δ df	p-value
Age-drift	2291.0	1	<0.001	1501.8	1	<0.001	1012.9	1	<0.001
Age-Cohort	392.2	3	<0.001	235.4	3	<0.001	178.3	3	<0.001
Age-Period-Cohort	468.3	3	<0.001	285.8	3	<0.001	215.4	3	<0.001
Age-Period	−493.2	−3	<0.001	−311.9	−3	<0.001	−221.8	−3	<0.001
Age-drift	−367.2	−3	<0.001	−209.4	1	<0.001	−171.9	−3	<0.001
Uruguay
Age-drift	397.9	1	<0.001	142.0	1	<0.001	126.0	1	<0.001
Age-Cohort	26.9	3	<0.001	14.2	3	0.003	11.1	3	0.011
Age-Period-Cohort	14.7	2	<0.001	8.4	2	0.015	2.5	2	0.283
Age-Period	−24.2	−3	<0.001	−11.2	−3	0.011	−10.2	−3	0.017
Age-drift	−17.4	−2	<0.001	−11.4	−2	0.003	−3.5	−2	0.175

^aEach model is compared with the one above (i.e., deviance model above – deviance model bellow) through the likelihood ratio test. Δ df = change in degrees of freedom.