Jonathan William Bartlett

Impact of COVID ‐19 Restrictions on Estimating Causal Effects: Fluoroquinolones and Tendon Rupture

ABSTRACT Purpose The COVID‐19 pandemic disrupted healthcare services, potentially affecting causal effect estimation using real‐world data. As a case study, we replicated a cohort study using Clinical Practice Research Datalink Aurum to evaluate whether pandemic‐related disruptio...

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...