Table 2.

Estimates of β₁ and SE$({\widehat{\beta }}_1)$ in a three class lc model, where β₁0:69, 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	0.738	0.378	0.730	0.361	0.725	0.337	0.726	0.359	0.727	0.355	0.691	0.350	0.680	0.348
MAR(Y)b	0.729	0.386	0.726	0.363	0.722	0.334	0.724	0.362	0.720	0.357	0.690	0.353	0.685	0.349
MAR(X2)c	0.747	0.379	0.733	0.363	0.71	0.335	0.722	0.361	0.732	0.357	0.704	0.356	0.699	0.356
MAR(Y,X2)d	0.731	0.402	0.730	0.368	0.739	0.335	0.717	0.369	0.717	0.362	0.720	0.353	0.738	0.351
MNAR(X1)e	0.727	0.382	0.735	0.359	0.728	0.331	0.725	0.360	0.726	0.354	0.700	0.346	0.691	0.345
MNAR(X1,X2)f	0.745	0.383	0.730	0.361	0.728	0.333	0.721	0.358	0.725	0.355	0.690	0.350	0.680	0.349
MNAR(X1,Y)g	0.755	0.388	0.755	0.362	0.745	0.331	0.749	0.359	0.742	0.355	0.726	0.349	0.727	0.349
Pr(Missing=30%)
MCARa	0.775	0.512	0.741	0.422	0.733	0.338	0.716	0.423	0.724	0.400	0.654	0.376	0.639	0.371
MAR(Y)b	0.766	0.553	0.744	0.433	0.741	0.336	0.721	0.434	0.716	0.414	0.66	0.384	0.665	0.380
MAR(X2)c	0.789	0.528	0.734	0.439	0.705	0.333	0.681	0.454	0.718	0.42	0.657	0.409	0.649	0.398
MAR(Y,X2)d	0.789	0.566	0.720	0.443	0.707	0.331	0.687	0.448	0.695	0.425	0.575	0.393	0.550	0.386
MNAR(X1)e	0.788	0.543	0.740	0.421	0.715	0.324	0.721	0.432	0.712	0.402	0.646	0.370	0.645	0.367
MNAR(X1,X2)f	0.743	0.538	0.722	0.421	0.708	0.328	0.696	0.427	0.709	0.407	0.659	0.374	0.648	0.368
MNAR(X1,Y)g	0.645	0.557	0.605	0.428	0.586	0.320	0.557	0.432	0.589	0.409	0.502	0.376	0.483	0.376
Pr(Missing=50%)
MCARa	0.852	0.804	0.755	0.518	0.762	0.346	0.675	0.541	0.728	0.468	0.639	0.430	0.635	0.414
MAR(Y)b	0.888	0.928	0.770	0.538	0.765	0.342	0.699	0.572	0.717	0.486	0.632	0.430	0.657	0.413
MAR(X2)c	0.866	0.926	0.757	0.579	0.682	0.335	0.644	0.678	0.718	0.544	0.639	0.503	0.633	0.489
MAR(Y,X2)d	0.860	0.924	0.725	0.538	0.750	0.334	0.658	0.598	0.701	0.499	0.556	0.454	0.541	0.435
MNAR(X1)e	0.906	0.912	0.759	0.521	0.760	0.323	0.694	0.543	0.711	0.468	0.646	0.410	0.640	0.407
MNAR(X1,X2)f	0.799	0.879	0.736	0.519	0.728	0.330	0.684	0.566	0.708	0.476	0.641	0.421	0.641	0.415
MNAR(X1,Y)g	0.697	0.940	0.583	0.541	0.562	0.318	0.529	0.589	0.576	0.486	0.488	0.421	0.476	0.418

^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.