Table 3.

Simulation results for the “extreme” inverse weight scenario, 1000 Monte Carlo data sets; entries and true value of β are as in Table 2. Smallest, median, second largest, and largest standard errors for table entries: Bias, (0.033, 0.182, 1.008, 3.920); AveSE, (0.020, 0.022, 0.180, 1.26); Cov, (0.005, 0.006, 0.007, 0.009)

	Bias	RMSE	MCSD	AveSE	Cov	Bias	RMSE	MCSD	AveSE	Cov
	n = 500
	R correct, DH correct					R correct, DH incorrect
β̂ipw	−0.09	2.65	2.65	2.61	0.95	13.84	124.74	123.97	15.68	0.91
β̂br*	−0.06	5.27	5.27	5.52	0.94	0.41	31.89	31.89	30.99	0.94
β̂opt*	0.06	1.15	1.15	1.10	0.93	−0.04	1.05	1.05	1.12	0.96
β̂mixed	−0.00	0.44	0.44	0.36	0.89	−0.00	0.44	0.44	0.36	0.89
	R incorrect, DH correct					R incorrect, DH incorrect
β̂ipw	−0.09	2.65	2.65	2.61	0.95	13.84	124.74	123.97	15.68	0.91
β̂br*	1.06	6.31	6.22	5.97	0.93	8.07	49.53	8.87	17.24	0.97
β̂opt*	−0.35	2.51	2.49	2.53	0.94	3.14	11.84	11.42	10.10	0.92
β̂mixed	−3.86	3.88	0.45	0.27	0.00	−3.86	3.88	0.45	0.27	0.00