Table A4. Experiment I – Scenario 1: MC Mean and MC SD are the respective average values (Mean) and the corresponding standard deviations (SD) of the MCEM estimates across all samples from fitting the SCN-CR model.

			Parameters
Fit			${\mathrm{\text{β}}}_0$	${\mathrm{\text{β}}}_1$	${\sigma }^2$	λ
SCN-CR	n = 50	MC Mean	5.0916	1.0021	0.9308	3.5118
		MC SD	0.2524	0.0365	0.4163	2.4528
		BIAS	0.20968	0.0289	0.3548	1.8838
		MSE	0.0714	0.0013	0.1764	6.2180
	n = 100	MC Mean	5.0817	1.0014	0.8307	2.8386
		MC SD	0.1788	0.0223	0.2375	1.6371
		BIAS	0.1483	0.0178	0.2423	1.2717
		MSE	0.0383	0.0005	0.0845	2.6794
	n = 200	MC Mean	5.0049	0.9999	1.0096	3.3595
		MC SD	0.1071	0.0131	0.2015	1.1964
		BIAS	0.0838	0.0103	0.1609	0.9328
		MSE	0.0117	0.0001	0.0403	1.5463
	n = 400	MC Mean	5.0548	0.9972	0.8862	2.7467
		MC SD	0.0937	0.0114	0.1325	0.6159
		BIAS	0.0816	0.00954	0.1480	0.5433
		MSE	0.0114	0.0002	0.0303	0.4397
	n = 600	MC Mean	5.0367	0.9968	0.9234	2.8786
		MC SD	0.0483	0.0081	0.0895	0.4779
		BIAS	0.0496	0.0070	0.0958	0.4064
		MSE	3.6514e−03	7.5503e−05	1.3798e−02	2.4086e−01