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Table 2 Mean errors between observed and imputed BMI values, three sequential missing values per individual (interpolation only)

From: Longitudinal multiple imputation approaches for body mass index or other variables with very low individual-level variability: the mibmi command in Stata

Cases Methoda Obs. Mean Std.Dev Min Max
Allb Simple ×1 30,000 0.980 1.002 0.000 16.017
mibmi ×100 30,000 0.989 1.004 0.000 16.034
Twofold ×100 30,000 1.137 1.155 0.000 18.318
Time point 1 Simple ×1 10,000 0.935 0.945 0.000 9.829
mibmi ×100 10,000 0.943 0.947 0.000 9.779
Twofold ×100 10,000 1.094 1.114 0.000 18.318
Time point 2 Simple ×1 10,000 1.059 1.068 0.000 16.017
mibmi ×100 10,000 1.069 1.071 0.000 16.034
Twofold ×100 10,000 1.234 1.231 0.000 17.126
Time point 3 Simple ×1 10,000 0.947 0.984 0.000 10.645
mibmi ×100 10,000 0.955 0.985 0.000 10.538
Twofold ×100 10,000 1.084 1.111 0.000 13.473
  1. aSimple refers to a single imputation that ignores variability in the observations (option xsimp); mibmi refers to the default multiple imputation approach with the command and 100 imputations; twofold refers to the twofold algorithm described in the paper and 100 imputations
  2. bAll refers to aggregates across all three time points