Estimands and Cumulative Incidence Function Regression in Clinical Trials: Some New Results on Interpretability and Robustness

ABSTRACT Regression analyses based on transformations of cumulative incidence functions are often adopted when modeling and testing for treatment effects in clinical trial settings involving competing and semi‐competing risks. Common frameworks include the Fine–Gray model and models based on direct...

Ausführliche Beschreibung