Efficient estimation and the cost of complete-case coarsening under monotone sequential MAR
单调序贯随机缺失下的有效估计与完整案例粗化成本
Complete-case coarsening discards observed confounder values from partially complete records. We study its consequences for average treatment effect estimation with two ordered, partially observed confounders under monotone sequential missing at random. We specialize the standard coarsening-at-random transformation to the causal influence function, establish the canonical gradient, and give an exact drift identity for a cross-fitted estimator with sequential multiple…