Skip to main content
. 2012 Apr 29;99(2):439–456. doi: 10.1093/biomet/ass013

Table 1.

Monte Carlo study of the performance of the proposed estimator with outcome normally distributed and missing at random

Bias RMSE MAE Bias RMSE MAE Bias RMSE MAE Bias RMSE MAE
Miss-C, OR-C Miss-I, OR-C Miss-C, OR-I Miss-I OR-I
n = 200, Y observed iff A = 1
β̂reg(η̂) 0.07 2.54 1.77 0.07 2.54 1.77 −0.51 3.38 2.36 −0.51 3.38 2.36
β̂(η̂, α̂) 0.07 2.54 1.78 0.07 2.60 1.79 0.38 3.50 2.30 −7.71 44.28 3.59
β̂ipw −0.09 4.16 2.54 2.07 10.99 3.20 −0.09 4.16 2.54 2.07 10.29 3.20
β̂Cao 0.07 2.54 1.79 0.06 2.53 1.78 0.08 2.59 1.82 −0.41 3.51 2.14
β̂dr 0.07 2.54 1.78 0.06 2.54 1.77 0.33 2.92 2.05 −1.71 3.58 2.42
n = 1000, Y observed iff A = 1
β̂reg(η̂) 0.01 1.19 0.82 0.01 1.19 0.82 −0.82 1.70 1.19 −0.82 1.70 1.19
β̂(η̂, α̂) 0.01 1.19 0.82 0.03 1.20 0.81 0.08 1.59 1.08 −9.78 23.55 5.24
β̂ipw −0.01 1.68 1.14 4.40 9.20 2.55 −0.01 1.68 1.14 4.40 9.20 2.55
β̂Cao 0.01 1.19 0.81 0.01 1.19 0.81 0.04 1.19 0.84 −1.26 1.81 1.34
β̂dr 0.01 1.19 0.81 0.01 1.19 0.81 0.06 1.22 0.86 −2.56 2.91 2.54
n = 200, Y observed iff A = 0
β̂reg(η̂) 0.07 2.54 1.76 0.07 2.54 1.76 5.01 5.79 5.02 5.01 5.79 5.02
β̂(η̂, α̂) 0.07 2.54 1.75 0.07 2.54 1.76 0.53 3.83 2.38 3.25 4.59 3.44
β̂ipw 0.29 3.89 2.47 3.85 5.02 4.09 0.29 3.89 2.47 3.85 5.02 4.09
β̂Cao 0.07 2.55 1.79 0.08 2.54 1.77 0.47 2.61 1.81 0.94 3.21 2.26
β̂dr 0.08 2.54 1.76 0.08 2.54 1.77 1.16 3.01 2.03 2.54 3.89 2.82
n = 1000, Y observed iff A = 0
β̂reg(η̂) 0.01 1.19 0.83 0.01 1.19 0.83 4.93 5.10 4.93 4.93 5.10 4.93
β̂(η̂, α̂) 0.01 1.19 0.83 0.01 1.19 0.83 0.18 1.67 1.15 3.09 3.40 3.09
β̂ipw 0.12 1.68 1.19 3.71 3.98 3.71 0.12 1.68 1.19 3.71 3.98 3.71
β̂Cao 0.01 1.19 0.83 0.01 1.19 0.84 0.14 1.21 0.84 1.12 1.70 1.24
β̂dr 0.01 1.19 0.83 0.01 1.19 0.84 0.29 1.29 0.94 1.47 2.07 1.54

RMSE, root mean square error; MAE, median absolute error; Miss-C and Miss-I (OR-C and OR-I), correct and incorrect missingness (outcome regression); β̂reg(η̂), outcome regression estimator; β̂(η̂, α̂), standard double robust estimator; β̂ipw inverse probability weighted estimator; β̂Cao, Cao et al. estimator, β̂dr, new double robust estimator.