A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout

Table 1

Simulation results for pure informative dropouts.

𝐹	𝛼	𝑏𝑖𝑗(𝜂𝑖)	𝛽1					𝛼
			𝑁	Bias	SSE	SEE	CP	Bias	SSE	SEE	CP
N.	0	𝜂𝑖	100	0.001	0.084	0.082	0.948	0.004	0.130	0.127	0.954
			200	0.006	0.057	0.058	0.952	−0.002	0.090	0.091	0.942
	0.5	𝜂𝑖	100	0.008	0.083	0.082	0.952	0.008	0.148	0.142	0.936
			200	0.005	0.056	0.058	0.954	0.001	0.102	0.101	0.944
	0.25	𝜂𝑖𝑡𝑖𝑗	100	0.004	0.102	0.101	0.940	0.006	0.083	0.081	0.938
			200	0.009	0.071	0.071	0.948	−0.001	0.060	0.058	0.940
E.	0	𝜂𝑖	100	0.007	0.107	0.097	0.920	0.001	0.150	0.140	0.942
			200	0.002	0.069	0.069	0.950	−0.003	0.010	0.097	0.958
	0.5	𝜂𝑖	100	0.010	0.097	0.097	0.948	0.025	0.161	0.161	0.962
			200	0.009	0.071	0.069	0.932	0.002	0.111	0.113	0.950
	0.25	𝜂𝑖𝑡𝑖𝑗	100	0.026	0.138	0.135	0.936	0.001	0.124	0.114	0.926
			200	0.009	0.089	0.095	0.954	0.001	0.079	0.082	0.952
L.	0	𝜂𝑖	100	0.004	0.079	0.077	0.932	0.001	0.076	0.077	0.950
			200	0.002	0.057	0.055	0.952	−0.001	0.058	0.054	0.938
	0.5	𝜂𝑖	100	0.009	0.079	0.076	0.944	0.007	0.114	0.105	0.928
			200	0.002	0.053	0.054	0.964	0.006	0.074	0.075	0.956
	0.25	𝜂𝑖𝑡𝑖𝑗	100	0.003	0.096	0.096	0.954	0.008	0.069	0.067	0.942
			200	0.002	0.067	0.068	0.964	0.004	0.047	0.047	0.958

In Tables 1–3: 𝐹: error distribution of the semiparametric transformation model; 𝑁: sample size; SSE: sample standard deviations of estimates; SEE: mean of estimates standard errors; CP: 95% coverage probability of Wald-type confidence interval.