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stat.ME2024★ 1 cited
Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
Lin Ge, Ce Yang, David Zucker +3
Environmental exposures are often defined using buffer zones around geocoded home addresses, but these static boundaries can miss dynamic daily activity patterns, leading to biased…
stat.AP2024
Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants
Gang Xu, Xin Zhou, Molin Wang +7
One way to quantify exposure to air pollution and its constituents in epidemiologic studies is to use an individual's nearest monitor. This strategy results in potential inaccuracy…
stat.ME2024
Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
Wenze Tang, Donna Spiegelman, Yujie Wu +1
In this paper, we identify the criteria for the selection of the minimal and most efficient covariate adjustment sets for the regression calibration method developed by Carroll, Ru…