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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: Biom J. 2015 Dec 9;58(3):588–606. doi: 10.1002/bimj.201400256

Table 4.

Monte Carlo Simulation Results for Data Missing at Random: Y~Normal Distribution and complementary log-log link for Pr(δ=1) with α0=0; N=200; Replicates=500; M=5; Missing Rate: 39%

Method Estimatea % Biasb SDc RMSEd SEe CR(%)f
FO 9.99 −0.1 0.304 0.304 0.303 95.4
CC 11.354 13.54 0.360 1.401 0.362 4.0
Wrong working models for δ (a misspecified link function) only
CE55 9.995 −0.05 0.506 0.506 0.481 96.4
SCE55(0.10) 10.064 0.64 0.424 0.429 0.490 96.0
SCE55(0.25) 10.056 0.56 0.416 0.420 0.483 97.0
NNMI55(5,0.8,0.2) 10.12 1.2 0.395 0.413 0.394 94.0
LMI55(0.10,0.10) 10.067 0.67 0.404 0.410 0.421 94.2
LMI55(0.10,0.25) 10.071 0.71 0.409 0.415 0.409 93.8
LMI55(0.25,0.10) 10.081 0.81 0.420 0.428 0.422 92.6
LMI55(0.25,0.25) 10.086 0.86 0.405 0.414 0.403 92.2
Wrong working model for δ (including a reduced set of predictors and a misspecified link function) only
CE53 9.986 −0.14 0.367 0.367 0.370 94.6
SCE53(0.10) 10.056 0.56 0.428 0.432 0.385 91.8
SCE53(0.25) 10.054 0.54 0.417 0.420 0.375 93.0
NNMI53(5,0.8,0.2) 10.161 1.61 0.393 0.425 0.389 92.6
LMI53(0.10,0.10) 10.121 1.21 0.393 0.411 0.394 93.6
LMI53(0.10,0.25) 10.094 0.94 0.400 0.411 0.398 93.4
LMI53(0.25,0.10) 10.21 2.1 0.389 0.442 0.388 92.8
LMI53(0.25,0.25) 10.155 1.55 0.389 0.419 0.391 91.4
Wrong working model for both Y (including a reduced set of predictors) and δ (a misspecified link function)
CE35 9.815 −1.85 0.701 0.725 0.634 95.4
SCE35(0.10) 10.239 2.39 0.386 0.454 0.537 97.4
SCE35(0.25) 10.099 0.99 0.410 0.422 0.531 97.8
NNMI35(5,0.8,0.2) 10.299 2.99 0.385 0.487 0.380 86.6
LMI35(0.10,0.10) 10.136 1.36 0.389 0.412 0.411 93.8
LMI35(0.10,0.25) 10.221 2.21 0.386 0.445 0.390 90.2
LMI35(0.25,0.10) 10.112 1.12 0.411 0.426 0.418 93.4
LMI35(0.25,0.25) 10.171 1.71 0.394 0.430 0.399 92.4
a

average of the 500 point estimates

b

100*(estimate- true value)/true value

c

sample standard deviation of the 500 point estimates

d

square root of mean-squared-errors

e

average of the 500 standard error estimates

f

coverage rate of the 500 95% confidence intervals