Multiple imputation (MI) methods offer appealing solutions for handling missing data in medical research because of their accessibility. How MI is implemented, however, can greatly affect the interpretation of findings. Our team focuses on providing key principles of employing MI in longitudinal comparative effectiveness research (CER).
