246 citations · 274 across the 20 of their papers we have counts for
6 papers · 1 filter
Days Alive at Home vs Out of Hospital: Why the Difference Matters for Trial Endpoints
Letao Yuan, Sarah N. Dawson, David S. Robertson +5
Days Alive and Out of Hospital (DAOH) and Days Alive at Home (DAH) are increasingly used as patient-centred primary outcomes in perioperative trials, and a recent editorial has adv…
Introducing precision-weighted bias as a performance measure to inform the inclusion of adaptive designs in meta-analysis
Martin Law, David S. Robertson, Sofia S. Villar +4
We propose a novel, intuitive measure of statistical performance: precision-weighted bias. Precision-weighted bias is defined as the unconditional bias of an estimator weighted by…
Beyond the Composite: Enhancing Trial Analysis through a Divide & Conquer Approach to 'Days Alive and at Home': Insights from the NOTACS trial
Letao Yuan, Sofía S. Villar, Dominique-Laurent Couturier
"Days alive and at home" (DAH) is a recent patient-centered outcome measure for perioperative trials, defined as the number of days a patient spends at home during the follow-up pe…
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…
Operationalizing Allocation Probability Tests: Practical Guidance on Optimized Implementation for Power and Robustness
Stina Zetterstrom, David S. Robertson, Thomas Jaki +1
Recently, a new testing approach for response-adaptive clinical trials was proposed based on the allocation probabilities (AP) rather than the outcome data. While original work on…
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…