Three-level

Multiple imputation approaches for handling incomplete three-level data with time varying cluster memberships

Three-level data structures arising from repeated measures on individuals who are clustered within larger units are common in clinical and population health studies. An additional complexity arises when individuals move between clusters over the …

Evaluation of approaches for multiple imputation of three-level data

Multilevel data with three levels of hierarchy resulting from repeated measures data on individuals who are clustered within larger units, such as geographical region, are common in health research studies. Missing data, which is a pervasive problem …