Skip to main content

Table 2 Results of the simulations on linear regressions, MAR(X)

From: Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research

Percent missing   Auxiliary variable correlation n = 50 n = 100 n = 200
    Bias SE Std. Bias RMSE Bias SE Std. Bias RMSE Bias SE Std. Bias RMSE
20 CC - −0.14 0.33 −0.43 0.20 −0.13 0.22 −0.60 0.17 −0.13 0.15 −0.85 0.15
  MI+0 - −0.04 0.31 −0.12 0.15 −0.05 0.22 −0.22 0.10 −0.05 0.15 −0.32 0.08
  MI+10 0.1 −0.08 0.32 −0.24 0.16 −0.07 0.22 −0.30 0.12 −0.06 0.15 −0.36 0.08
  MI+20 0.1 −0.17 0.33 −0.51 0.21 −0.10 0.22 −0.46 0.13 −0.07 0.15 −0.44 0.09
  MI+40 0.1 −0.16 0.33 −0.48 0.21 −0.19 0.23 −0.85 0.21 −0.11 0.15 −0.68 0.11
  MI+80 0.1 −0.15 0.33 −0.45 0.21 −0.22 0.24 −0.93 0.23 −0.21 0.16 −1.34 0.21
  MI+10 0.5 −0.02 0.42 −0.02 0.19 −0.01 0.29 −0.03 0.13 −0.02 0.20 −0.08 0.09
  MI+20 0.5 −0.08 0.43 −0.15 0.20 −0.03 0.29 −0.10 0.13 −0.02 0.20 −0.10 0.09
  MI+40 0.5 −0.08 0.42 −0.19 0.23 −0.08 0.29 −0.26 0.15 −0.04 0.20 −0.17 0.10
  MI+80 0.5 −0.09 0.41 −0.21 0.23 −0.31 0.30 −1.11 0.32 −0.09 0.21 −0.43 0.12
50 CC - −0.14 0.57 −0.32 0.44 −0.25 0.35 −0.72 0.34 −0.23 0.25 −0.96 0.27
  MI+0 - −0.20 0.46 −0.37 0.35 −0.21 0.31 −0.63 0.27 −0.18 0.21 −0.82 0.21
  MI+10 0.1 −0.28 0.47 −0.59 0.35 −0.23 0.31 −0.74 0.28 −0.20 0.21 −0.95 0.22
  MI+20 0.1 −0.53 0.44 −1.30 0.54 −0.27 0.30 −0.89 0.30 −0.23 0.21 −1.12 0.25
  MI+40 0.1 −0.42 0.42 −1.07 0.47 −0.52 0.30 −1.82 0.52 −0.28 0.21 −1.36 0.29
  MI+80 0.1 −0.44 0.42 −1.11 0.47 −0.44 0.28 −1.73 0.46 −0.53 0.20 −2.77 0.53
  MI+10 0.5 −0.12 0.6 −0.17 0.35 −0.10 0.41 −0.20 0.28 −0.07 0.28 −0.21 0.19
  MI+20 0.5 −0.41 0.55 −0.79 0.44 −0.11 0.40 −0.24 0.25 −0.09 0.28 −0.30 0.19
  MI+40 0.5 −0.30 0.51 −0.65 0.44 −0.38 0.38 −1.07 0.39 −0.14 0.28 −0.49 0.20
  MI+80 0.5 −0.28 0.51 −0.60 0.42 −0.21 0.36 −0.76 0.44 −0.38 0.25 −1.58 0.38