An Improved Doubly Robust Estimator Using Partially Recovered Unmeasured Spatial Confounder
利用部分恢复的未测空间混杂变量改进双重稳健估计
Studies in environmental and epidemiological sciences are often spatially varying and observational in nature with the aim of establishing cause and effect relationships. One of the major challenges with such studies is the presence of unmeasured spatial confounders. 'spatial confounding' is the phenomenon in which the spatial residuals are correlated to the spatial covariates in the model, when unaccounted for it can lead to biased causal effect estimates. This paper…