Doubly Robust Estimation under Possibly Misspecified Marginal Structural Cox Model
可能误设的边际结构 Cox 模型下的双重稳健估计
In this paper we address the challenges posed by non-proportional hazards and informative censoring, offering a path toward more meaningful causal inference conclusions. We start from the marginal structural Cox model, which has been widely used for analyzing observational studies with survival outcomes, and typically relies on the inverse probability weighting method. The latter hinges upon a propensity score model for the treatment assignment, and a censoring model which…