Table 6.

Results from 1000 simulated datasets with the network regenerated for each dataset with 100 components for ${\mathit{\text{IPW}}}_1$ (left) and ${\mathit{\text{IPW}}}_2$ (right) for exposed $(a=1)$, not exposed $(a=0)$, and marginal estimators under allocation strategies 25%, 50%, and 75%.

	True	IPW1				IPW2
		Bias	ESE	ASE	ECP	Bias	ESE	ASE	ECP
$\widehat{Y}\left(\mathrm{1,0.25}\right)$	0.2489	0.0023	0.0487	0.0467	0.89	−0.0099	0.0518	0.0457	0.93
$\widehat{Y}\left(\mathrm{1,0.5}\right)$	0.2270	0.0018	0.0271	0.0274	0.94	−0.0037	0.0324	0.0317	0.96
$\widehat{Y}\left(\mathrm{1,0.75}\right)$	0.2058	−0.0008	0.0425	0.0500	0.90	−0.0052	0.0275	0.0274	0.96
$\widehat{Y}\left(\mathrm{0,0.25}\right)$	0.2281	<0.0001	0.0366	0.0491	0.93	−0.0013	0.0223	0.0237	0.97
$\widehat{Y}\left(\mathrm{0,0.5}\right)$	0.2745	0.0015	0.0257	0.0298	0.97	−0.0023	0.0230	0.0246	0.96
$\widehat{Y}\left(\mathrm{0,0.75}\right)$	0.3249	0.0050	0.0479	0.0541	0.92	−0.0018	0.0161	0.0177	0.98
$\widehat{Y}\left(0.25\right)$	0.2333	0.0006	0.0296	0.0388	0.94	−0.0051	0.0340	0.0329	0.94
$\widehat{Y}\left(0.5\right)$	0.2508	0.0017	0.0187	0.0213	0.97	−0.0168	0.0542	0.0510	0.94
$\widehat{Y}\left(0.75\right)$	0.2356	0.0007	0.0336	0.0387	0.91	−0.0081	0.0295	0.0289	0.95