Strategies for Multiple Imputation in Longitudinal Studies
Strategies for Multiple Imputation in Longitudinal Studies
Multiple imputation is increasingly recommended in epidemiology to adjust for the bias and loss of information that may occur in analyses restricted to study participants with complete data ("complete-case analyses"). However, little guidance is available on applying the method, including which variables to include in the imputation model and the …