Table 1

Scenario			Analysis	Intercept(β₀)			Slope(β₁)
N	SD of X	LOD	Analysis	Bias	MSE	CP	Bias	MSE	CP
500	0.5	0%	Naïve	0.004	0.300	94.5%	-0.00014	0.0118	95.1%
		0%	Corrected	0.004	0.300	94.5%	-0.00014	0.0118	95.1%
		20%	Naïve	0.139	0.451	94.6%	-0.02549	0.0174	94.8%
		20%	Corrected	-0.021	0.312	94.9%	0.004033	0.0124	94.7%
		50%	Naïve	0.574	1.309	90.5%	-0.10275	0.0466	91.2%
		50%	Corrected	0.027	0.376	94.8%	-0.00509	0.0148	94.8%
	1	0%	Naïve	0.010	0.069	95.4%	-0.00148	0.0027	95.9%
		0%	Corrected	0.010	0.069	95.4%	-0.00148	0.0027	95.9%
		20%	Naïve	0.190	0.150	91.6%	-0.03297	0.0055	92.0%
		20%	Corrected	0.010	0.078	94.6%	-0.00185	0.0031	95.1%
		50%	Naïve	0.547	0.571	81.4%	-0.08614	0.0167	85.7%
		50%	Corrected	-0.019	0.098	95.0%	0.004916	0.0037	95.5%
	2	0%	Naïve	0.002	0.019	95.9%	-0.00017	0.0007	95.5%
		0%	Corrected	0.002	0.019	95.9%	-0.00017	0.0007	95.5%
		20%	Naïve	0.212	0.080	78.6%	-0.03273	0.0023	83.5%
		20%	Corrected	0.007	0.023	93.5%	-0.00102	0.0009	94.5%
		50%	Naïve	0.724	0.612	33.7%	-0.09892	0.0125	52.4%
		50%	Corrected	0.012	0.029	95.4%	-0.00127	0.0011	94.9%
1000	0.5	0%	Naïve	0.005	0.148	94.6%	-0.00101	0.0058	95.2%
		0%	Corrected	0.005	0.148	94.6%	-0.00101	0.0058	95.2%
		20%	Naïve	0.168	0.247	93.3%	-0.03074	0.0095	93.5%
		20%	Corrected	0.009	0.158	94.4%	-0.00151	0.0063	94.0%
		50%	Naïve	0.530	0.781	87.1%	-0.09401	0.0274	87.9%
		50%	Corrected	0.008	0.189	94.6%	-0.00100	0.0075	94.4%
	1	0%	Naïve	-0.002	0.038	94.5%	0.000437	0.0015	94.5%
		0%	Corrected	-0.002	0.038	94.5%	0.000436	0.0015	94.5%
		20%	Naïve	0.188	0.090	88.0%	-0.03253	0.0032	89.9%
		20%	Corrected	0.008	0.038	95.3%	-0.00152	0.0015	95.5%
		50%	Naïve	0.588	0.491	65.3%	-0.09484	0.0140	70.1%
		50%	Corrected	0.003	0.052	94.2%	-0.00059	0.0020	94.3%
	2	0%	Naïve	-0.001	0.010	95.8%	-0.00015	0.0004	95.0%
		0%	Corrected	-0.001	0.010	95.8%	-0.00016	0.0004	95.0%
		20%	Naïve	0.210	0.059	62.9%	-0.03248	0.0016	72.9%
		20%	Corrected	0.003	0.010	95.5%	-0.00055	0.0004	96.1%
		50%	Naïve	0.724	0.569	6.7%	-0.09928	0.0112	21.9%
		50%	Corrected	0.008	0.015	95.1%	-0.00105	0.0005	95.8%

Table 1: Simulation results of a parametric survival model when a covariate is subject to limit of detection. The true values of the regression parameters set to β₀ = −2.0, and β₁ = −0.2.