Table 4

Associations of three interventions on alcohol-related motor vehicle crash rates per 10 000 000 population, Valparaíso-Viña del Mar, 1 January 2010—31 December 2017 (ARMA (1,0)) for residuals.

	Naïve model			Uber-oriented model			Full model
	β	95% CI	P-value	β	95% CI	P-value	β	95% CI	P-value
Time	−0.003	−0.007 to 0.001	0.129	0.003	−0.004 to 0.010	0.466	0.003	−0.004 to 0.010	0.466
Zero tolerance law	−0.370	−0.955 to 0.215	0.214	−0.394	−1.034 to 0.246	0.227	−0.394	−1.034 to 0.246	0.227
Zero tolerance law change in trend				−0.010	−0.019 to −0.001	0.026	−0.010	−0.019 to −0.001	0.026
Emilia law	0.173	−0.378 to 0.724	0.537	0.421	−0.184 to 1.026	0.172	0.316	−0.396 to 1.028	0.384
Emilia law change in trend				0.006	−0.003 to 0.016	0.204	0.009	−0.005 to 0.023	0.198
Uber	0.488	−0.028 to 1.003	0.064	0.351	−0.416 to 1.117	0.369	0.322	−0.452 to 1.095	0.414
Uber change in trend							−0.004	−0.020 to 0.011	0.583
Constant	2.440	2.110 to 2.777	<0.001	2.111	1.642 to 2.582	<0.001	2.112	1.642 to 2.582	<0.001

Autoregressive, Akaike information criterion and Ljung-Box tests values for each model are available in online supplementary Appendix F.