TABLE 2.

Performance of JEAIC and JEBIC compared with MLIC and QICW_r when the dropout model is misspecified: percentage of selecting six candidate logistic models across 500 Monte Carlo datasets; T = 3, ρ = 0.3

Setups	Method	C(ρ)	x1	x3	x1, x2	x1, x3	x2, x3	x1, x2, x3	Total
n = 100	JEAIC	AR1	0.002	0.002	0.092	0	0.012	0.008	0.116
m = 0.2		EXC	0.024	0.01	0.566	0.002	0.191	0.09	0.884
		IND	0	0	0	0	0	0	0
		Total	0.026	0.012	0.659	0.002	0.203	0.098	1
	JEBIC	AR1	0.022	0.004	0.084	0	0.012	0	0.122
		EXC	0.096	0.022	0.557	0.002	0.195	0.006	0.878
		IND	0	0	0	0	0	0	0
		Total	0.118	0.026	0.641	0.002	0.207	0.006	1
	MLIC	AR1	0.006	0.012	0.212	0	0.126	0.054	0.41
		EXC	0.012	0.006	0.258	0.006	0.184	0.074	0.54
		IND	0	0	0.028	0	0.016	0.006	0.05
		Total	0.018	0.018	0.498	0.006	0.326	0.134	1
	QICWr	AR1	0	0	0.056	0	0.042	0.04	0.138
		EXC	0.008	0.004	0.436	0.002	0.232	0.114	0.796
		IND	0	0	0.034	0	0.02	0.012	0.066
		Total	0.008	0.004	0.526	0.002	0.294	0.166	1
n = 100	JEAIC	AR1	0.01	0.002	0.094	0.002	0.032	0.02	0.16
m = 0.3		EXC	0.046	0.026	0.484	0.004	0.194	0.086	0.84
		IND	0	0	0	0	0	0	0
		Total	0.056	0.028	0.578	0.006	0.226	0.106	1
	JEBIC	AR1	0.042	0.012	0.078	0	0.028	0.002	0.162
		EXC	0.142	0.066	0.436	0	0.184	0.01	0.838
		IND	0	0	0	0	0	0	0
		Total	0.184	0.078	0.514	0	0.212	0.012	1
	MLIC	AR1	0.01	0.008	0.154	0.002	0.098	0.046	0.318
		EXC	0.038	0.032	0.296	0.002	0.184	0.066	0.618
		IND	0.002	0.004	0.028	0	0.016	0.014	0.064
		Total	0.05	0.044	0.478	0.004	0.298	0.126	1
	QICWr	AR1	0.002	0	0.048	0	0.03	0.034	0.114
		EXC	0.008	0.004	0.456	0.004	0.232	0.132	0.836
		IND	0	0	0.022	0	0.012	0.016	0.05
		Total	0.01	0.004	0.526	0.004	0.274	0.182	1
n = 200	JEAIC	AR1	0	0	0.036	0	0.008	0.008	0.052
m = 0.2		EXC	0	0	0.726	0	0.092	0.13	0.948
		IND	0	0	0	0	0	0	0
		Total	0	0	0.762	0	0.1	0.138	1
	JEBIC	AR1	0	0	0.042	0	0.012	0.002	0.056
		EXC	0.01	0	0.806	0	0.11	0.018	0.944
		IND	0	0	0	0	0	0	0
		Total	0.01	0	0.848	0	0.122	0.02	1
	MLIC	AR1	0	0	0.216	0	0.05	0.072	0.338
		EXC	0	0	0.404	0	0.098	0.098	0.6
		IND	0.002	0	0.032	0	0.006	0.022	0.062
		Total	0.002	0	0.652	0	0.154	0.192	1
	QICWr	AR1	0	0	0.056	0	0.01	0.028	0.094
		EXC	0	0	0.558	0	0.108	0.168	0.834
		IND	0	0	0.04	0	0.002	0.03	0.072
		Total	0	0	0.654	0	0.12	0.226	1
n = 200	JEAIC	AR1	0	0	0.068	0	0.012	0.008	0.088
m = 0.3		EXC	0.008	0	0.662	0	0.132	0.11	0.912
		IND	0	0	0	0	0	0	0
		Total	0.008	0	0.73	0	0.144	0.118	1
	JEBIC	AR1	0.004	0.002	0.078	0	0.012	0	0.096
		EXC	0.04	0	0.698	0.002	0.154	0.01	0.904
		IND	0	0	0	0	0	0	0
		Total	0.044	0.002	0.776	0.002	0.166	0.01	1
	MLIC	AR1	0.002	0	0.206	0.002	0.054	0.072	0.336
		EXC	0.004	0.002	0.374	0	0.13	0.094	0.604
		IND	0	0	0.032	0	0.012	0.016	0.06
		Total	0.006	0.002	0.612	0.002	0.196	0.182	1
	QICWr	AR1	0	0	0.064	0	0.004	0.028	0.096
		EXC	0	0	0.542	0	0.124	0.192	0.858
		IND	0	0	0.018	0	0.004	0.024	0.046
		Total	0	0	0.624	0	0.132	0.244	1

The model with {x₁, x₂} and an EXC correlation structure is the true model. Notations n and m denote the sample size and the missing probability, respectively.

Abbreviations: EXC, exchangeable; IND, independence; JEAIC, joint empirical Akaike information criterion; JEBIC, joint empirical Bayesian information criterion; MLIC, missing longitudinal information criterion; QICW, weighted quasi-likelihood information criterion.

The bold values denote the true mean and correlation structures.