Doubly robust target inference for generalized linear regression with completely missing covariates
协变量完全缺失时广义线性回归的双重稳健目标总体推断
Large-scale multipurpose cohort studies and biobanks often omit covariates needed for specific downstream analyses. We study target-population inference for generalized linear regression when key covariates are completely absent from the target data but observed in a related source population. Standard missing covariate methods are not directly applicable because they require at least partial observation of the covariates in the target population. We develop a doubly robust…