Implementing multiple imputation for missing data in longitudinal studies when models are not feasible: A tutorial on the random hot deck approach

Chinchin Wang, Tyrel Stokes, Russell Steele +2

Objective: Researchers often use model-based multiple imputation to handle missing at random data to minimize bias while making the best use of all available data. However, there a…