Table 4.

Estimation of marginal distributions for income and health insurance, and linear regression coefficients for the regression of BMI (dependent variable) on income, age and gender (independent variables). (Complete case analysis presented is weighted.)

			Methods
Sample	Estimation	Variable	Complete Case		Parametric MI (M=5)				Synthetic MI (L=100, S=30, M=5)
					Exclude weights		Include log(weights)		Exclude weights		Include log(weights)
			Pt.est.	SE	Pt.est.	SE	Pt.est.	SE	Pt.est.	SE	Pt.est.	SE
Full Sample	Marginal	Low Income	0.50	0.04	0.50	0.04	0.52	0.05	0.52	0.04	0.51	0.04
		Medium Income	0.38	0.04	0.36	0.04	0.36	0.04	0.36	0.04	0.36	0.04
		High Income	0.12	0.03	0.14	0.03	0.12	0.03	0.13	0.03	0.13	0.03
		No insurance	0.22	0.04	0.24	0.04	0.24	0.04	0.24	0.04	0.24	0.04
	Regression	Intercept	27.0	2.75	26.1	2.02	25.8	2.05	26.3	2.29	26.2	2.30
		Medium income	0.47	1.40	0.35	1.21	0.39	1.19	0.37	0.94	0.37	0.95
		High income	0.27	1.43	−0.47	1.32	−0.33	1.37	−0.36	1.40	−0.31	1.40
		Age	0.02	0.04	0.03	0.03	0.04	0.03	0.03	0.03	0.03	0.03
		Female	2.29	1.30	2.72	1.06	2.56	1.07	2.57	1.06	2.55	1.05
Whites Domain	Marginal	Low Income	0.30	0.07	0.36	0.07	0.35	0.06	0.34	0.06	0.34	0.06
		Medium Income	0.53	0.08	0.48	0.07	0.50	0.07	0.49	0.06	0.49	0.06
		High Income	0.17	0.06	0.16	0.06	0.15	0.05	0.17	0.06	0.17	0.06
		No insurance	0.24	0.07	0.21	0.06	0.21	0.06	0.19	0.06	0.19	0.06
	Regression	Intercept	31.1	3.9	32.4	4.7	31.0	4.1	31.0	4.2	31.0	4.1
		Medium income	−1.6	3.25	−2.8	2.83	−2.1	2.72	−1.8	2.96	−1.7	2.97
		High income	−3.1	3.60	−3.5	3.42	−3.2	3.18	−3.1	3.65	−3.0	3.62
		Age	0.02	0.06	−0.01	0.06	0.02	0.06	0.02	0.06	0.02	0.05
		Female	−1.7	2.39	−0.13	2.13	−0.68	2.11	−0.80	2.17	−0.75	2.17