Table 6 imputation methods
Methods | Â | Number of studies |
|---|---|---|
Missing at random | Â | 4 |
Treated as separate category | Â | 1 |
Single Imputation | AUC analysis | 2 |
| Â | Last observed carried forward analysis | 6 |
| Â | Last observation carried forward based on intention to treat analysis | 1 |
| Â | Logistic regression method | 1 |
| Â | Regression model incorporating baseline covariates | 1 |
| Â | Mean imputation | 1 |
| Â | Conservative statistic (NMAR) | 1 |
| Â | Baseline group mean imputed as a null effect both for pre and post-intervention analysis | 1 |
| Â | Continuous time variable with random slope in a longitudinal model | 1 |
| Â | Monte Carlo error computation model including all the variables to be used in the analysis | 1 |
Multiple imputation stathistical methods | Â | 15 |