Table 5.

Results from 1000 simulated datasets on TRIP network further dividing the network into 20 components using ${\mathit{\text{IPW}}}_1$ (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% with exposure generating model $A_i=\mathit{\text{Bern}}\left({\mathit{\text{logit}}}^{-1}\left(-1.4\cdot Z_{1,i}+2\cdot Z_{2,i}-1.5\cdot Z_{3,i}+1.2\cdot Z_{4,i}\right)\right)$.

	True	IPW1				IPW2
		Bias	ESE	ASE	ECP	Bias	ESE	ASE	ECP
$\widehat{Y}\left(\mathrm{1,0.25}\right)$	0.2493	0.0445	0.161	0.095	0.61	0.0409	0.100	0.075	0.71
$\widehat{Y}\left(\mathrm{1,0.5}\right)$	0.2274	0.0295	0.179	0.094	0.64	0.0197	0.089	0.073	0.80
$\widehat{Y}\left(\mathrm{1,0.75}\right)$	0.2057	0.0194	0.290	0.111	0.57	0.0422	0.093	0.065	0.64
$\widehat{Y}\left(\mathrm{0,0.25}\right)$	0.2295	0.0160	0.141	0.087	0.72	0.0214	0.064	0.060	0.86
$\widehat{Y}\left(\mathrm{0,0.5}\right)$	0.2765	0.0306	0.149	0.092	0.69	0.0318	0.063	0.067	0.86
$\widehat{Y}\left(\mathrm{0,0.75}\right)$	0.3264	0.0589	0.189	0.113	0.59	0.0923	0.094	0.076	0.56
$\widehat{Y}\left(0.25\right)$	0.2345	0.0231	0.115	0.077	0.71	0.0263	0.054	0.055	0.84
$\widehat{Y}\left(0.5\right)$	0.2520	0.0300	0.118	0.079	0.70	0.0258	0.053	0.059	0.87
$\widehat{Y}\left(0.75\right)$	0.2358	0.0293	0.227	0.099	0.60	0.0547	0.072	0.058	0.62