Journal of Probability and Statistics / 2021 / Article / Tab 3 / Research Article
Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable Table 3 Comparison of the performance of imputation methods based on the CRs of regression coefficients over 1000 simulations.
Variable Method MAR MCAR 10% 20% 30% 40% 50% 10% 20% 30% 40% 50% (BMIreal)MCR 1.000 1.000 0.981 0.964 0.885 1.000 1.000 0.982 0.955 0.924 MI 1.000 1.000 0.998 0.997 0.984 1.000 1.000 0.998 0.992 0.985 MRF 1.000 1.000 1.000 0.998 0.986 1.000 1.000 1.000 0.998 0.994 MS 0.996 0.967 0.826 0.702 0.556 0.997 0.953 0.850 0.674 0.563 (Betotal)MCR 1.000 0.999 0.982 0.944 0.906 1.000 0.997 0.987 0.955 0.901 MI 1.000 0.999 0.998 0.994 0.983 1.000 1.000 0.998 0.995 0.986 MRF 1.000 0.999 0.987 0.942 0.903 1.000 1.000 0.991 0.963 0.875 MS 0.983 0.740 0.415 0.205 0.092 0.973 0.727 0.402 0.208 0.078 (PACS4)MCR 1.000 0.996 0.965 0.893 0.834 1.000 0.997 0.987 0.961 0.907 MI 1.000 1.000 0.998 0.991 0.987 1.000 0.999 0.999 0.998 0.983 MRF 1.000 0.980 0.919 0.798 0.678 1.000 0.997 0.964 0.926 0.850 MS 0.896 0.500 0.210 0.093 0.049 0.973 0.666 0.301 0.140 0.046 (PSPS)MCR 1.000 0.994 0.955 0.907 0.824 1.000 1.000 0.983 0.946 0.899 MI 1.000 1.000 0.997 0.995 0.985 1.000 1.000 1.000 0.998 0.989 MRF 1.000 0.980 0.920 0.789 0.676 1.000 0.999 0.970 0.904 0.830 MS 0.893 0.489 0.205 0.088 0.042 0.978 0.648 0.295 0.110 0.047 X 5 (Gender)MCR 1.000 0.999 0.995 0.981 0.959 1.000 0.999 0.990 0.979 0.957 MI 1.000 1.000 0.998 0.997 0.989 1.000 1.000 0.999 0.996 0.988 MRF 1.000 1.000 0.998 0.999 0.994 1.000 1.000 0.999 0.997 0.992 MS 1.000 0.991 0.974 0.951 0.962 0.999 0.991 0.974 0.958 0.924 (BMIreal ∗Gender)MCR 1.000 0.997 0.929 0.822 0.712 1.000 0.996 0.946 0.834 0.677 MI 1.000 1.000 0.999 0.998 0.990 1.000 0.999 0.999 0.987 0.983 MRF 1.000 0.988 0.867 0.714 0.558 1.000 0.984 0.908 0.734 0.545 MS 0.910 0.455 0.173 0.072 0.015 0.916 0.469 0.166 0.037 0.014