Table 4.

Multi-level regression analysis of the trajectory of missing teeth

Covariates	Model 1		Model 2		Model 3
	Coef	P-value	Coef	P-value	Coef	P-value
Fixed effect
For intercept, π0
Intercept	14.529	<0.001	−6.109	0.087	−0.757	0.838
Dropout for good (vs complete data)			2.101	0.003	1.991	0.004
Returned after dropout (vs complete data)			1.181	0.183	0.914	0.302
Death (versus complete data)			1.024	0.194	0.767	0.323
Proxy interview (Proxy vs non proxy)			−0.534	0.623	−1.033	0.356
Age (in years)			0.295	<0.001	0.263	<0.001
Sex (Male vs Female)			−0.209	0.717	0.270	0.658
Race (White vs black)			−4.100	<0.001	−2.409	<0.001
Education years (in years)					−0.165	0.059
Household income (in quartiles)					−0.953	0.010
For linear time slope, π1
Intercept	0.320	<0.001	0.752	0.025	0.833	0.025
Dropout for good (vs complete data)			0.126	0.099	0.122	0.106
Returned after dropout (vs complete data)			0.142	0.110	0.132	0.139
Death (versus complete data)			−0.006	0.927	−0.007	0.916
Proxy interview (Proxy vs non proxy)			−0.063	0.604	−0.109	0.349
Age (in years)			−0.005	0.233	−0.005	0.278
Sex (Male versus Female)			0.093	0.084	0.067	0.191
Race (White versus black)			−0.224	<0.001	−0.204	0.001
Education years (in years)					−0.015	0.101
Household income (in quartiles)					0.027	0.447
Random effect	Variance	P-value	Variance	P-value	Variance	P-value
Intercept	66.489	<0.001	59.567	<0.001	57.888	<0.001