Mia S. Tackney

Can discussions with patients and the public clarify missing data mechanisms for digital outcome measures?

Abstract Background Analysis of clinical trials with missing data requires statistical assumptions. When novel digital outcome measures are used, it is particularly important to understand trial participants’ experiences with the device. This can illuminate the reasons for and sp...

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...