TABLE 5.

The root mean squared error (RMSE), average interval width and empirical coverage of the 95% CI of coefficients estimates and subject-level variance estimate for the univariate analysis in Configuration 3 with the monotone missing data pattern. The incomplete predictors are marked in bold.

Estimates	Metrics	FCS-Standard (LM)	FCS-Standard (PMM)	FCS-Standard (Poisson)	FCS-LMM-latent	FCS-GLMM (Gauss.)	FCS-GLMM (Poisson)	JM-General Location	JM-MLMM (common)	JM-MLMM (random)	JM-MGLMM
Intercept ${\widehat{\gamma }}_0^{\mathit{\text{comp}}}=-{3.89}^{**}$	RMSE	0.150	0.154	0.149	0.156	0.255	0.237	0.176	0.131	0.165	0.125
	Width	1.157	1.136	1.127	1.110	1.039	1.033	1.094	1.131	1.144	1.055
	Coverage(%)	100	99	100	100	99	100	100	100	100	100
Comorbidity Index ${\widehat{\gamma }}_1^{\mathit{\text{comp}}}={0.38}^{**}$	RMSE	0.021	0.020	0.136	0.019	0.025	0.112	0.020	0.031	0.071	0.152
	Width	0.117	0.118	0.117	0.117	0.110	0.105	0.113	0.117	0.113	0.100
	Coverage(%)	99	100	0	100	100	0	99	100	22	0
BMI ${\widehat{\gamma }}_2^{\mathit{\text{comp}}}=-{0.02}^{*}$	RMSE	0.003	0.004	0.004	0.003	0.004	0.003	0.004	0.004	0.006	0.005
	Width	0.029	0.029	0.028	0.028	0.026	0.026	0.027	0.028	0.030	0.027
	Coverage(%)	100	100	100	100	100	100	100	100	99	100
Paid assistive devices ${\widehat{\gamma }}_3^{\mathit{\text{comp }}}={0.36}^{**}$	RMSE	0.026	0.022	0.021	0.026	0.019	0.018	0.025	0.019	0.052	0.048
	Width	0.149	0.152	0.150	0.150	0.142	0.141	0.144	0.149	0.151	0.143
	Coverage(%)	100	100	100	99	100	100	99	100	87	92
Age ${\widehat{\gamma }}_4^{\mathit{\text{comp}}}={0.11}^{**}$	RMSE	0.014	0.014	0.015	0.016	0.018	0.015	0.019	0.017	0.018	0.012
	Width	0.112	0.112	0.111	0.111	0.104	0.101	0.107	0.112	0.111	0.106
	Coverage(%)	100	100	100	100	100	100	100	100	100	100
Gender ${\widehat{\gamma }}_5^{\mathit{\text{comp}}}={0.28}^{**}$	RMSE	0.044	0.041	0.073	0.056	0.048	0.072	0.053	0.040	0.054	0.090
	Width	0.310	0.311	0.306	0.307	0.282	0.282	0.299	0.307	0.304	0.287
	Coverage(%)	100	100	99	100	100	96	100	100	100	96
Self-rated health ${\widehat{\gamma }}_6^{\mathit{\text{comp}}}={0.20}^{**}$	RMSE	0.024	0.024	0.052	0.024	0.021	0.049	0.028	0.022	0.040	0.072
	Width	0.162	0.162	0.164	0.157	0.146	0.146	0.155	0.157	0.158	0.148
	Coverage(%)	100	99	95	100	100	93	100	100	98	60
Have med. bill paid off overtime ${\widehat{\gamma }}_7^{\mathit{\text{comp}}}={0.34}^{*}$	RMSE	0.064	0.066	0.060	0.048	0.058	0.066	0.131	0.093	0.102	0.067
	Width	0.483	0.483	0.480	0.473	0.444	0.435	0.462	0.473	0.475	0.451
	Coverage(%)	100	100	100	100	100	100	93	99	99	100
Took prescribed med. ${\widehat{\gamma }}_8^{\mathit{\text{comp }}}=0.30$	RMSE	0.095	0.096	0.129	0.071	0.096	0.156	0.110	0.155	0.206	0.183
	Width	0.702	0.714	0.692	0.666	0.647	0.644	0.667	0.684	0.674	0.650
	Coverage(%)	100	100	100	100	100	100	99	100	99	98
Time ${\widehat{\gamma }}_9^{\mathit{\text{comp}}}={0.10}^{**}$	RMSE	0.020	0.022	0.048	0.016	0.027	0.023	0.021	0.016	0.017	0.018
	Width	0.109	0.108	0.108	0.104	0.102	0.105	0.099	0.105	0.106	0.100
	Coverage(%)	99	100	66	100	96	98	99	100	100	100
Random effect ${\widehat{\sigma }}_{b_{\mathit{\text{comp}}}}^2={1.13}^{**}$	RMSE	0.048	0.044	0.070	0.037	0.202	0.220	0.050	0.035	0.040	0.107
	Width	0.235	0.239	0.233	0.238	0.217	0.212	0.221	0.241	0.240	0.220
	Coverage(%)	98	99	95	100	0	0	94	100	99	56