Table 2.
Approach | Imputation Approach | Weights in analysis model | How missing data addressed | Imputation sample | Analysis sample | |
---|---|---|---|---|---|---|
‘by design’ | ‘by chance’ | |||||
CCA | None | sampling | IPW | Not addressed | N/A | Subset |
IPW-Only | None | combineda | IPW | IPW | N/A | Subset |
MI-IPW-Sub | FCS with outcome only | sampling | IPW | MI | Subset | Subset |
MI-IPW-Int | FCS with outcome only | sampling | IPW | MI | Full cohort | Subset |
MI-Only | FCS imputation | None | MI | MI | Full cohort | Full cohort |
FCS Fully conditional specification, IPW Inverse probability weighting, MI Multiple imputation
aCombined weights are the product of inverse probability of selection into subcohort and inverse probability of being a complete observation