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