Table 3.

Absolute difference between SPARK and SAS estimates for intercept and five covariates, based on a simple bootstrap of 5000 replicates*, with a recorded precision of 10e-9 for estimates

No of covariates	Type	Estimate	Maximum absolute difference between estimates (×10e-6)
		Parameters	b0	b1	b2	b3	b4	b5
5	iid		0.073	0.257	0.082	0.094	0.117	0.017
	Correlated		0.060	0.229	0.133	0.061	0.084	0.158
	Binary		0.071	0.447	0.110	0.079	0.233	0.126
10	iid		0.555	2.050	0.589	0.162	0.716	0.740
	Correlated		0.025	0.089	0.032	0.017	0.036	0.059
	Binary		0.023	0.072	0.025	0.024	0.027	0.027
15	iid*		0.930	4.340	0.980	0.807	1.850	1.510
	Correlated		0.016	0.075	0.041	0.028	0.030	0.027
	Binary		0.049	0.120	0.034	0.034	0.042	0.028
20	iid		0.021	0.093	0.026	0.040	0.033	0.028
	Correlated		0.041	0.200	0.087	0.017	0.094	0.058
	Binary		0.114	1.330	0.334	0.220	0.530	0.360
		Std errors	se0	se1	se2	se3	se4	se5
5	iid		0.017	0.069	0.020	0.023	0.031	0.024
	Correlated		0.015	0.057	0.035	0.018	0.020	0.037
	Binary		0.032	0.206	0.029	0.019	0.107	0.032
10	iid		0.376	1.504	0.429	0.142	0.524	0.533
	Correlated		0.006	0.019	0.007	0.005	0.007	0.015
	Binary		0.004	0.017	0.004	0.004	0.005	0.005
15	iid*		1.548	8.500	1.960	1.577	2.860	1.790
	Correlated		0.002	0.018	0.005	0.003	0.005	0.004
	Binary		0.005	0.009	0.003	0.002	0.004	0.003
20	iid		0.005	0.025	0.006	0.002	0.009	0.008
	Correlated		0.009	0.052	0.023	0.005	0.026	0.019
	Binary		0.073	1.239	0.301	0.205	0.514	0.340

^*Replicates in which complete or quasi-complete separation was detected in SAS were excluded. This occurred in less than 2.5% of replicates for all but the dataset with 15 iid covariates, in which separation was detected in 16.6% of replicates.

iid, independent identically distributed.