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Table 1 Mean errors between observed and imputed BMI values, one missing value per individual

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 10000 1.113 1.353 0.000 26.900
mibmi ×100 10000 1.120 1.351 0.000 26.888
Twofold ×100 10000 0.949 1.026 0.000 15.481
Interpolation Simple ×1 6132 0.801 0.819 0.000 11.651
mibmi ×100 6132 0.808 0.819 0.001 11.429
Twofold ×100 6132 0.804 0.810 0.000 11.180
Extrapolation Simple ×1 3868 1.606 1.808 0.000 26.900
mibmi ×100 3868 1.614 1.805 0.000 26.888
Twofold ×100 3868 1.179 1.260 0.001 15.481
  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 both interpolations (between observations imputations) and extrapolations (not between observations imputations)