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. Author manuscript; available in PMC: 2015 Nov 20.
Published in final edited form as: Stat Med. 2014 Jul 4;33(26):4605–4626. doi: 10.1002/sim.6258

Table 1.

Simulation results under the correct imputation model.

n % missing Method F1(t = 0.7) = 0.3356
Bias(1) Var(1) E(1) MSE CP
100 20% m=1 −0.00142 0.00264 0.00264 0.00264 0.949
(η1, η2) m=10 −0.00141 0.00248 0.00251 0.00248 0.951
= (−1.38, 0) CC −0.01065 0.00274 0.00273 0.00286 0.944
m*=10 −0.00162 0.00242 0.00256 0.00243 0.953
30% m=1 −0.00043 0.00313 0.00311 0.00313 0.947
(η1, η2) m=10 −0.00067 0.00279 0.00286 0.00279 0.953
= (−1.38, 0.56) CC −0.06251 0.00290 0.00278 0.00681 0.770
m*=10 −0.00167 0.00280 0.00296 0.00280 0.961
40% m=1 −0.00166 0.00340 0.00323 0.00340 0.949
(η1, η2) m=10 −0.00167 0.00294 0.00295 0.00294 0.950
= (−1.38, 1.1) CC −0.05030 0.00333 0.00322 0.00586 0.837
m*=10 −0.00268 0.00296 0.00307 0.00297 0.954
30% m=1 0.00100 0.00293 0.00273 0.00293 0.941
(η1, η2) m=10 0.00183 0.00264 0.00259 0.00264 0.945
= (−0.1, −1) CC 0.01730 0.00337 0.00319 0.00367 0.936
m*=10 0.00122 0.00261 0.00262 0.00261 0.948
40% m=1 −0.00052 0.00308 0.00281 0.00308 0.942
(η1, η2) m=10 −0.00028 0.00283 0.00264 0.00283 0.946
= (−0.1, −0.36) CC 0.04804 0.00394 0.00377 0.00625 0.881
m*=10 −0.00075 0.00285 0.00266 0.00285 0.949

300 20% m=1 −0.00073 0.00091 0.00089 0.00091 0.958
(η1, η2) m=10 −0.00074 0.00082 0.00085 0.00082 0.960
= (−1.38, 0) CC −0.00985 0.00093 0.00093 0.00102 0.933
m*=10 −0.00078 0.00082 0.00086 0.00082 0.961
30% m=1 0.00090 0.00102 0.00105 0.00102 0.948
(η1, η2) m=10 0.00070 0.00090 0.00096 0.00090 0.952
= (−1.38, 0.56) CC −0.06132 0.00094 0.00094 0.00470 0.482
m*=10 0.00037 0.00091 0.00100 0.00091 0.953
40% m=1 −0.00079 0.00106 0.00110 0.00106 0.949
(η1, η2) m=10 −0.00068 0.00092 0.00100 0.00092 0.959
= (−1.38, 1.1) CC −0.04953 0.00107 0.00110 0.00352 0.686
m*=10 −0.00096 0.00093 0.00105 0.00093 0.965
30% m=1 −0.00003 0.00095 0.00092 0.00095 0.950
(η1, η2) m=10 0.00015 0.00089 0.00087 0.00089 0.956
= (−0.1, −1) CC 0.01678 0.00115 0.00108 0.00143 0.926
m*=10 0.00009 0.00088 0.00089 0.00088 0.958
40% m=1 −0.00011 0.00099 0.00096 0.00099 0.939
(η1, η2) m=10 0.00018 0.00091 0.00090 0.00091 0.949
= (−0.1, −0.36) CC 0.05030 0.00140 0.00129 0.00393 0.717
m*=10 0.00003 0.00091 0.00091 0.00091 0.948

m*=10, 10 proper imputations based on methods of [5].