Table 5.

Estimation of log-linear model for four categorical variables (collapse categories for medium and high income): 2009 Michigan BRFSS.

		Methods
Estimation	Variable Level	Complete Case		Parametric MI Exclude weights		Parametric MI Include log(weights)		Synthetic MI Exclude weights		Synthetic MI Include log(weights)
		Coef.	SE	Coef.	SE	Coef.	SE	Coef.	SE	Coef.	SE
Main effects	Low income	−0.01	0.12	0.08	0.13	0.04	0.12	0.04	0.13	0.02	0.13
	Has insurance	0.61	0.12	0.64	0.12	0.62	0.11	0.69	0.12	0.68	0.12
	White	−0.94	0.11	−1.0	0.10	−1.0	0.11	−1.1	0.12	−1.1	0.12
	Male	−0.11	0.12	−0.09	0.10	−0.07	0.10	−0.07	0.11	−0.07	0.11
Two-way Interactions	Low income x Has insurance	−0.36	0.12	−0.37	0.12	−0.33	0.13	−0.31	0.11	−0.30	0.11
	Low income x White	−0.28	0.10	−0.20	0.09	−0.20	0.09	−0.22	0.09	−0.22	0.09
	Low income x Male	−0.03	0.09	−0.03	0.09	−0.07	0.09	−0.05	0.08	−0.05	0.08
	Has insurance x White	−0.13	0.12	−0.02	0.12	−0.02	0.12	0.02	0.13	0.03	0.13
	Has insurance x Male	−0.01	0.13	−0.12	0.10	−0.14	0.10	−0.15	0.10	−0.15	0.10
	White x Male	−0.08	0.09	−0.11	0.08	−0.11	0.09	−0.11	0.08	−0.10	0.08