Controlled MI feature | n (N = 16ª) | % |
---|---|---|
Type of primary outcome | ||
Binary | 4 | 25% |
Continuous | 9 | 56% |
Time-to-event | 3 | 19% |
Type of controlled MI | ||
Delta-based MI | 9 | 56% |
Reference based MI | 7 | 44% |
Method of delta-based MI (N = 9) | ||
MICEe | 2 | 22% |
MVN imputation (non-monotone missing patterns) and regression MI model (monotone patterns) | 1 | 11% |
Kaplan-Meier MI (KMMI) | 2b | 22% |
ANCOVA MI | 1 | 11% |
Cox model MI | 1† | 11% |
Not stated | 3 | 27% |
Method of reference-based MI (N = 7) | ||
MCMC or random draws from a normal distribution with mean equal to subject’s own baseline valuef | 1 | 14% |
Linear MMRM | 2 | 29% |
Kaplan-Meier MI (KMMI) | 1 | 14% |
Not stated | 3 | 43% |
Specified variables in imputation model | 9 | 56% |
Imputation model incl. All variables in analysis model only | 5 | 31% |
Imputation model incl. All variables in analysis model + auxiliary variables | 3 | 19% |
Imputation model did not include all variables in analysis modelg | 1 | 6% |
Did not specify variables in imputation model | 7 | 44% |
Imputation model incl. All variables in analysis model + auxiliary variables | 2 | 13% |
Reported the number of imputations | 13 | 81% |
No. of imputations | ||
5 | 2 | 13% |
20 | 1 | 6% |
100 | 6 | 38% |
1000 | 4 | 25% |
Not stated | 3 | 19% |
Specific procedure/command(s) (software) for implementing MI | ||
Proc MI and Proc MIANALYZE (SAS) | 2 | 13% |
Proc MIXED and Proc MIANALYZE (SAS) | 2 | 13% |
Not stated | 12 | 75% |
Rubin’s rules used for inference | ||
Yesh | 9 | 56% |
Noc | 1 | 6% |
Not stated | 6 | 38% |
Analysis status | ||
Primary | 2 | 13% |
Sensitivity | 14 | 87% |
No. scenarios used in sensitivity analysisd | Median | Range |
Median (range) | 3 | (1–48) |
Performed diagnostic check of imputations | 0 | 0% |