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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)