3 papers
stat.ME2026
Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
Zexiang Li, Donna Spiegelman, Molin Wang +2
In nutritional and environmental epidemiology, exposures are impractical to measure accurately, while practical measures for these exposures are often subject to substantial measur…
stat.ME2025
Improving Transportability of Regression Calibration Under the Main/External Validation Study Design
Zexiang Li, Donna Spiegelman, Molin Wang +2
In epidemiology, obtaining accurate individual exposure measurements can be costly and challenging. Thus, these measurements are often subject to error. Regression calibration with…
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…