Multiple imputation is a principled approach to account for missing data in analyses where valid results depends on careful construction of the imputation model. The potential for misspecification of ...

Control-based pattern mixture models (PMM) and delta-adjusted PMMs are commonly used as sensitivity analyses in clinical trials with non-ignorable dropout. These PMMs assume that the statistical ...

This is a preview. Log in through your library . Abstract Higher education researchers using survey data often face decisions about handling missing data. Multiple imputation (MI) is considered by ...