Table 2.

Results of multilevel logistic regression models.

	Model 1	Model 2	Model 3
Fixed effects
Age	3.69*** (3.69, 3.70)	3.68*** (3.68, 3.69)	3.69*** (3.68, 3.69)
Sex (ref: Male)
Female	0.44*** (0.44, 0.44)	0.44*** (0.44, 0.44)	0.44*** (0.44, 0.44)
Race/ethnicity (ref: Non-Hispanic White)
Non-Hispanic Black	1.33 *** (1.33, 1.33)	1.29*** (1.29, 1.30)	1.26*** (1.25, 1.27)
Non-Hispanic Other	0.97*** (0.96, 0.98)	0.99 (0.97, 1.00)	1.00 (0.99, 1.02)
Hispanic	0.90*** (0.89, 0.91)	0.97*** (0.96, 0.98)	0.96*** (0.95, 0.97)
(Intercept)	0.71*** (0.69, 0.74)	0.71*** (0.68, 0.74)	0.71*** (0.67, 0.75)
Random effects
State of residence (${\sigma }_j^2$)	0.02		0.02
State of birth (${\sigma }_k^2$)		0.03	0.03
Log Likelihood	−10,925,315	−10,919,682	−10,910,142
Akaike Inf. Crit.	21,850,644	21,839,379	21,820,299
Bayesian Inf. Crit.	21,850,710	21,839,445	21,820,375

Note: *p < 0.5; **p < 0.01; ***p < 0.001. Fixed effects are presented in odds ratios.