3 papers
stat.ME2026
Priority-Standardized Net Benefit: A Stage-Normalized Estimand for Hierarchical Composite Endpoints
David McCoy, John Leopold, Shirley Galbiati +2
Hierarchical composite endpoints analyzed with win statistics are increasingly used when outcomes differ in clinical importance and hard events are too rare to support a single-com…
stat.ME2024
Data-Adaptive Identification of Effect Modifiers through Stochastic Shift Interventions and Cross-Validated Targeted Learning
David McCoy, Wenxin Zhang, Alan Hubbard +2
In epidemiology, identifying subpopulations that are particularly vulnerable to exposures and those who may benefit differently from exposure-reducing interventions is essential. F…
stat.ME2023
Unveiling Causal Mediation Pathways in High-Dimensional Mixed Exposures: A Data-Adaptive Target Parameter Strategy
David B. McCoy, Alan E. Hubbard, Mark van der Laan +1
Mediation analysis in causal inference typically concentrates on one binary exposure, using deterministic interventions to split the average treatment effect into direct and indire…