Table 5.
Missing data methods used in the analysis
| CHARACTERISTICS | n | % |
|---|---|---|
| Major methods used for analysis | ||
| Complete case analysis | 24 | 100 |
| Single imputation | 2 | 8 |
| Multiple Imputation | 11 | 46 |
| Instrumental variables | 2 | 8 |
| Heckman’s selection model | 9 | 38 |
| Other methods | 13 | 54 |
| Other methods used | ||
| Age standardization | 2 | 8 |
| Upper bounds and lower bounds | 1 | 4 |
| Copulae models | 2 | 8 |
| Logistic prediction models | 1 | 4 |
| Refusal rate adjustment | 1 | 4 |
| Mobility rate adjustment | 1 | 4 |
| Random effect bias model | 1 | 4 |
| HIV self-report imputation | 1 | 4 |
| Prevalence ratio inflation factor | 1 | 4 |
| HIV risk ratio adjustment | 1 | 4 |
| Network imputation using recruitment chain | 1 | 4 |
| Conditional probability equations | 1 | 4 |
| Maximum number of methods used per study | ||
| 2 | 14 | 58 |
| 3 | 8 | 34 |
| 4 | 2 | 8 |