Guidelines for multiple imputations in repeated measurements with time-dependent covariates: a case study

In observational studies, the direct likelihood approach (i.e., the standard longitudinal data methods) is sufficient to obtain valid inferences in the presence of missing data only in the outcome. In contrast, multiple imputation is required when dealing with partly missing time-varying covariates and repeated measurements.