Table 1:

Results from Scenario 1 (n=2,000 and about 51% missingness) based on the naïve complete case analysis (CC), the multiple imputation by chained equations approach (MICE), and the proposed sieve inverse probability weighting approach (SIPW).

Analysis		Event 1		Event 2
		${\widehat{\beta }}_{11}$	${\widehat{\beta }}_{21}$	${\widehat{\beta }}_{12}$	${\widehat{\beta }}_{22}$
CC	% Bias	−14.330	−17.478	23.845	3.144
	MCSDa	0.056	0.106	0.071	0.125
	ASEb	0.055	0.105	0.069	0.130
	CPc	0.740	0.621	0.604	0.959
MICE	% Bias	−6.876	−8.080	−15.471	−15.429
	MCSDa	0.055	0.100	0.050	0.091
	ASEb	0.065	0.120	0.055	0.097
	CPc	0.963	0.936	0.721	0.882
SIPW	% Bias	0.565	0.695	0.685	0.448
	MCSDa	0.062	0.119	0.070	0.125
	ASEb	0.063	0.122	0.070	0.129
	CPc	0.944	0.961	0.954	0.960

^aMonte Carlo standard deviation of the estimates.

^bAverage of the standard error estimates.

^cEmpirical coverage probability.