Table 2.

Results for conditional regression parameters across simulated datasets (see Section 5.2)

		Without emptiness (m=1)						With emptiness (m=0)
		GLMM		J-No0s		Joint		GLMM		J-No0s		Joint
Parameters		Med	%	Med	%	Med	%	Med	%	Med	%	Med	%
=4	0.00	3.99	95	3.99	95	3.99	95	3.99	94	4.00	95	4.00	94
	0.10	4.27	67	4.00	95	4.00	95	4.47	58	4.39	67	4.00	95
	0.25	4.86	1	4.00	95	4.00	95	5.53	0	4.90	4	4.01	95
=0.5	0.00	0.50	95	0.51	95	0.51	95	0.51	95	0.51	95	0.51	94
	0.10	0.63	92	0.50	95	0.50	95	0.74	91	0.68	93	0.50	95
	0.25	0.95	74	0.49	95	0.49	95	1.33	74	0.71	94	0.49	96
=0.2	0.00	0.20	95	0.20	95	0.20	95	0.20	95	0.20	95	0.20	95
	0.10	0.20	95	0.20	95	0.20	95	0.20	95	0.20	94	0.20	94
	0.25	0.21	95	0.20	95	0.20	95	0.22	95	0.21	95	0.20	95

GLMM refers to generalized linear mixed effects model (outcome-only); J-No0s refers to joint conditional model excluding empty clusters; Joint refers to joint conditional model including empty clusters; Med is median estimates; % is 95% confidence interval coverage.