Table 3.

Multi-level regression analysis of the trajectory of decayed teeth

Covariate	Model 1		Model 2		Model 3
	Coef	P-value	Coef	P-value	Coef	P-value
Fixed effect
For intercept, π0
Intercept	1.604	<0.001	1.961	0.065	4.484	<0.001
Dropout for good (vs complete data)			0.019	0.925	−0.016	0.936
Returned after dropout (vs complete data)			0.210	0.504	0.097	0.746
Death (versus complete data)			0.795	0.019	0.665	0.046
Proxy interview (Proxy vs non proxy)			0.733	0.153	0.558	0.265
Age (in years)			−0.002	0.875	−0.019	0.207
Sex (Male vs Female)			0.399	0.034	0.685	<0.001
Race (White vs black)			−1.311	<0.001	−0.520	0.008
Education years (in years)					−0.047	0.062
Household income (in quartiles)					−0.535	<0.001
For linear time slope, π1
Intercept	−0.050	0.014	−0.419	0.101	−0.366	0.206
Dropout for good (vs complete data)			−0.050	0.419	−0.046	0.455
Returned after dropout (vs complete data)			−0.112	0.093	−0.111	0.101
Death (versus complete data)			−0.032	0.737	−0.038	0.692
Proxy interview (Proxy vs non proxy)			0.062	0.548	0.068	0.526
Age (in years)			0.005	0.154	0.004	0.246
Sex (Male versus Female)			−0.006	0.884	0.007	0.869
Race (White versus black)			0.076	0.059	0.088	0.063
Education years (in years)					0.004	0.583
Household income (in quartiles)					−0.021	0.475
Random effect	Variance	P-value	Variance	P-value	Variance	P-value
Intercept	6.500	<0.001	5.855	<0.001	5.488	<0.001