Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach.
Chinchin WangTyrel StokesRussell J SteeleNiels WedderkoppIan ShrierPublished in: Clinical epidemiology (2022)
Random hot deck imputation should be considered as an alternative method when model-based approaches are infeasible, specifically where there are constraints within and between covariates.