Table 2.
Mean errors between observed and imputed BMI values, three sequential missing values per individual (interpolation only)
| 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 |
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
bAll refers to aggregates across all three time points