Estimands and cumulative incidence function regression in clinical trials: some new results on interpretability and robustness
临床试验中累积发生函数回归的估计目标、可解释性与稳健性
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 binomial regression. Using large sample theory we derive the limiting values of treatment effect estimators based on such models when the data are generated according to multiplicative…