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. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: Biometrics. 2010 Aug 19;67(2):536–545. doi: 10.1111/j.1541-0420.2010.01476.x

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