3 papers
stat.AP2026
Capturing the Curve: Functional Data Analysis for Validated Digital Outcome Measures
Mia S. Tackney, Marcos Matabuena, Marco Palma +7
Digital health technologies enable high-frequency collection of data in near-continuous time and capture rich information about the health of individuals. The raw data collected by…
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…