Table 4.
Sensitivity analysis, overall, and by primary analysis method (n = 47)
| None | Sensitivity analysis method | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| CCA | MI (MAR) | MNAR | Othera | |||||||
| n | % | n | % | n | % | n | % | n | % | |
| Overall | ||||||||||
| Total (n = 47) | 25 | 53 | 11 | 23 | 9 | 19 | 2 | 4 | 5 | 11 |
| By primary analysis | ||||||||||
| CCA (n = 20) | 10 | 50 | 0 | 0 | 8 | 40 | 0 | 0 | 2 | 10 |
| MI (n = 14) | 5 | 36 | 9 | 64 | 0 | 0 | 2 | 14 | 2 | 14 |
| Other (n = 13) | 10 | 77 | 2 | 15 | 1 | 8 | 0 | 0 | 1 | 8 |
Note. % = row percentages; CCA = complete‐case analysis; MAR = assuming data missing at random; MI = multiple imputation; MNAR = assuming data missing not at random. Total may be more than 100% as some studies conducted more than one sensitivity analysis.
a
Other methods used for sensitivity analysis include last observation carried forward (n = 1), regression imputation (n = 1), adjusting for baseline predictors of missingness (n = 1), imputing by average of observed values for that patient (n = 1), and an ad hoc hybrid method using multiple and mean imputation (n = 1).