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stat.ME2026
Component over Composite: Mitigating Type I Error Inflation when Imputing "Days Alive and at Home"
Mia S. Tackney, Sarah Dawson, Letao Yuan +2
Background: Days Alive and at Home (DAH) over a pre-defined follow-up period is a novel post-intervention composite outcome that combines data from at least three components: (i) i…
stat.ME2025
Comparison of Parametric versus Machine-learning Multiple Imputation in Clinical Trials with Missing Continuous Outcomes
Mia S. Tackney, Jonathan W. Bartlett, Elizabeth Williamson +1
The use of flexible machine-learning (ML) models to generate imputations of missing data within the framework of Multiple Imputation (MI) has recently gained traction, particularly…