Elizabeth M. Williamson

Comparison of parametric versus machine-learning multiple imputation in clinical trials with missing continuous outcomes

Abstract Background Flexible machine-learning (ML) models to generate imputations within the Multiple Imputation (MI) framework has recently gained traction, particularly in non-randomised observational settings. For randomised controlled trials (RCTs), it is unclear whether ML a...