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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.AP2024
Variable importance measure for spatial machine learning models with application to air pollution exposure prediction
Si Cheng, Magali N. Blanco, Lianne Sheppard +2
Exposure assessment is fundamental to air pollution cohort studies. The objective is to predict air pollution exposures for study subjects at locations without data in order to opt…