Table 3.

Results of simulation study. The true marginal logistic model has parameters (β_τ, β_x) = (−0.5, 1.0).

True Distribution		APPROACH	βτ = − 0.5	βx = 1.0	βτ= − 0.5	βx = 1.0	βτ = − 0.5	βx = 1.0
Bridge			ρ = 0.10		ρ = 0.30		ρ = 0.60
	Simulation Average	Bridge ML	−0.505	1.001	−0.509	1.009	−0.507	1.012
		Bahadur ML	−0.508	1.019	−0.502	1.016	−0.514	1.020
		GEE	−0.517	1.024	−0.509	1.033	−0.506	1.001
	Simulation MSE	Bridge ML	0.0291	0.0790	0.0297	0.0771	0.0282	0.0829
		Bahadur ML	0.0296	0.0793	0.0301	0.0782	0.0294	0.0917
		GEE	0.0299	0.0823	0.0305	0.0842	0.0284	0.0851
	Coverage Probabilitya	Bridge ML	94.0	95.5	95.1	94.9	93.2	94.7
		Bahadur ML	94.8	95.1	93.9	96.0	95.7	93.8
		GEE	94.3	93.6	93.9	95.1	94.6	95.1
Bahadur			Γ = 0.10		Γ = 0.30		Γ = 0.60
	Simulation Average	Bridge ML	−0.510	1.027	−0.508	1.001	−0.518	0.966
		Bahadur ML	−0.509	0.997	−0.514	1.031	−0.507	1.021
		GEE	−0.513	1.024	−0.506	1.015	−0.505	1.025
	Simulation MSE	Bridge ML	0.0299	0.0867	0.0278	0.1053	0.0241	0.1115
		Bahadur ML	0.0290	0.0809	0.0265	0.1036	0.0233	0.1113
		GEE	0.0288	0.0888	0.0272	0.1057	0.0256	0.1366
	Coverage Probabilitya	Bridge ML	93.4	95.2	93.0	94.7	93.2	94.7
		Bahadur ML	94.4	95.7	95.2	95.1	92.8	94.8
		GEE	95.5	95.4	95.9	95.0	93.8	93.6

^aCoverage Probability for a 95% Confidence Interval