Table 1.

Estimates of β₁ and SE(${\widehat{\beta }}_1$) in a three class LC model, where β₁₌0, β₂= 0, pr(X₁=1)=0.5 and pr(X₂=1)=0.5 for 1:1 matched study with n simulations.

	CCA		MI		EM		LLMI		LCMI-2		LCMI-3		LCMI-4
	β1	ASE	β1	ASE	β1	ASE	β1	ASE	β1	ASE	β1	ASE	β1	ASE
Pr(Missing=10%)
MCARa	−0.009	0.341	−0.010	0.325	−0.014	0.304	−0.012	0.324	−0.011	0.321	−0.010	0.316	−0.011	0.313
MAR(Y)b	−0.012	0.349	−0.008	0.328	0.000	0.303	−0.013	0.327	0.001	0.325	0.003	0.316	−0.001	0.314
MAR(X2)c	−0.013	0.342	−0.008	0.326	−0.021	0.305	−0.011	0.325	−0.007	0.321	−0.003	0.316	0.000	0.312
MAR(Y,X2)d	−0.020	0.362	−0.005	0.336	−0.009	0.304	−0.002	0.336	−0.002	0.329	0.039	0.322	0.056	0.322
MNAR(X1)e	−0.003	0.344	−0.003	0.325	−0.004	0.300	−0.004	0.324	−0.009	0.320	−0.009	0.312	−0.008	0.312
MNAR(X1,X2)f	−0.019	0.344	−0.005	0.324	−0.007	0.301	−0.002	0.322	−0.009	0.320	−0.010	0.315	−0.013	0.312
MNAR(X1,Y)g	0.027	0.348	0.017	0.328	0.018	0.300	0.017	0.325	0.018	0.321	0.030	0.311	0.033	0.311
Pr(Missing=30%)
MCARa	0.001	0.455	−0.011	0.382	−0.011	0.306	−0.006	0.379	−0.006	0.357	−0.009	0.34	−0.003	0.333
MAR(Y)b	−0.021	0.496	−0.002	0.400	−0.005	0.305	−0.006	0.393	0.001	0.381	0.001	0.347	0.004	0.343
MAR(X2)c	0.002	0.473	0.002	0.394	0.011	0.307	−0.009	0.391	0.002	0.374	0.006	0.355	0.009	0.348
MAR(Y,X2)d	−0.032	0.503	0.001	0.397	0.010	0.305	−0.013	0.399	−0.003	0.38	−0.066	0.348	−0.099	0.341
MNAR(X1)e	−0.027	0.474	−0.021	0.379	−0.037	0.295	−0.007	0.375	−0.023	0.363	−0.015	0.334	−0.024	0.332
MNAR(X1,X2)f	−0.042	0.484	−0.012	0.387	−0.011	0.300	−0.002	0.383	−0.012	0.37	−0.011	0.343	−0.009	0.337
MNAR(X1,Y)g	−0.151	0.490	−0.141	0.390	−0.151	0.298	−0.132	0.391	−0.139	0.37	−0.164	0.337	−0.187	0.334
Pr(Missing=50%) MCARa
MCARa	−0.054	0.721	−0.024	0.475	−0.009	0.314	−0.011	0.478	−0.012	0.432	−0.002	0.383	0.001	0.365
MAR(Y)b	−0.032	0.812	0.005	0.490	0.020	0.311	0.005	0.500	0.013	0.451	−0.003	0.390	−0.006	0.373
MAR(X2)c	0.015	0.839	0.015	0.507	−0.004	0.311	−0.066	0.568	0.017	0.470	0.011	0.430	0.015	0.413
MAR(Y,X2)d	−0.082	0.817	−0.014	0.489	0.001	0.309	−0.020	0.516	−0.016	0.453	−0.077	0.400	−0.117	0.386
MNAR(X1)e	0.009	0.744	−0.025	0.458	−0.037	0.295	−0.027	0.472	−0.028	0.429	−0.033	0.370	−0.037	0.365
MNAR(X1,X2)f	−0.035	0.800	−0.001	0.480	−0.008	0.303	−0.005	0.488	0.014	0.436	−0.001	0.379	−0.006	0.371
MNAR(X1,Y)g	−0.186	0.790	−0.144	0.470	−0.167	0.296	−0.153	0.495	−0.127	0.431	−0.172	0.381	−0.194	0.369

^amissing completely at random.

^bmissing at random conditional on Y.

^cmissing at random conditional on X2.

^dmissing at random conditional on Y,X2.

^emissing not at random conditional on X1.

^fmissing not at random conditional on X1,X2.

^gmissing not at random conditional on X1,Y.