Table 2. Advantages and disadvantages of methods to tackle missing data.
| Feature | Complete-case | Median substitution | EM | MICE |
| No special software is needed | Yes | Yes | Yes | No |
| Easy to communicate with clinical audience | Yes | Yes | Yes | No |
| Do not require distributional assumption | Yes | Yes | No | Yes |
| Preserve data characteristics | No | No | Yes | Yes |
| Convergence of imputation model is not an issue | Yes | Yes | No | No |
| Takes imputation uncertainty into account | No | No | No | Yes |
| Any particular problem | Diminishes the power Gives biased estimated if not MCAR | Artificially reduces the variance | Might give out of range estimates | Requires aggregation of estimates |