Table 2.

Summary of simulation results of maximum likelihood estimation for Poisson longitudinal outcomes and survival time.

				n=200				n=400
ψ	Par.	TRUE	Est.	SSD	ESE	CP	Est.	SSD	ESE	CP
−1	β 0	−1	− .995	.203	.196	.940	−1.005	.138	.138	.948
	β 1	1	.998	.178	.171	.942	1.007	.119	.121	.945
	β 2	− .5	− .510	.273	.264	.946	− .502	.192	.186	.935
	β 3	− .5	− .489	.150	.151	.950	− .492	.107	.106	.949
	${\sigma }_b^2$	.2	.196	.074	.092	.983	.200	.055	.065	.976
	ψ	−1	−1.038	.716	.771	.947	−1.003	.503	.514	.934
	γ 1	−1	−1.025	.227	.228	.969	−1.014	.160	.158	.954
	γ 2	1	1.034	.371	.358	.947	1.009	.248	.248	.959
	Λ( .9)	.9	.918	.222	.208	.943	.909	.141	.142	.944
	Λ(1.4)	1.4	1.456	.403	.357	.943	1.424	.235	.237	.953
	Λ(1:9)	1.9	1.999	.632	.560	.953	1.948	.368	.366	.961
0	β 0	−1	−1.007	.202	.199	.943	−1.003	.137	.140	.957
	β 1	1	1.010	.184	.175	.932	.998	.120	.124	.951
	β 2	− .5	− .513	.283	.268	.937	− .505	.193	.189	.942
	β 3	− .5	− .500	.164	.161	.951	− .489	.114	.114	.950
	${\sigma }_b^2$	.2	.199	.074	.097	.981	.206	.055	.070	.973
	ψ	0	.006	.571	.610	.993	.011	.391	.387	.978
	γ 1	−1	−1.039	.188	.194	.958	−1.015	.128	.132	.953
	γ 2	1	1.021	.326	.319	.948	1.003	.226	.219	.944
	Λ( .9)	.9	.917	.191	.188	.952	.909	.129	.130	.950
	Λ(1.4)	1.4	1.448	.313	.308	.953	1.432	.206	.210	.950
	Λ(1.9)	1.9	2.006	.478	.473	.954	1.966	.312	.316	.950
1	β 0	−1	−1.014	.195	.202	.952	−1.004	.138	.142	.954
	β 1	1	1.014	.180	.178	.954	1.008	.126	.125	.951
	β 2	− .5	− .512	.273	.271	.947	− .511	.190	.191	.945
	β 3	− .5	− .514	.174	.172	.943	− .509	.123	.122	.959
	${\sigma }_b^2$	.2	.201	.083	.098	.967	.204	.060	.070	.960
	ψ	1	.993	.664	.768	.942	1.008	.477	.512	.942
	γ 1	−1	−1.030	.230	.224	.952	−1.003	.158	.157	.950
	γ 2	1	1.014	.363	.354	.949	1.006	.252	.247	.942
	Λ( .9)	.9	.925	.22	.207	.949	.91	.144	.142	.948
	Λ(1.4)	1.4	1.46	.389	.351	.95	1.435	.246	.237	.942
	Λ(1.9)	1.9	2.018	.639	.554	.957	1.957	.373	.365	.947