1 citations · 2 across the 9 of their papers we have counts for
9 papers
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…
Exposure measurement error correction in longitudinal studies with discrete outcomes
Ce Yang, Ning Zhang, Jiaxuan Li +4
Environmental epidemiologists are often interested in estimating the effect of time-varying functions of the exposure history on health outcomes. However, the individual exposure m…
Statistical methods for cost-effectiveness analysis of left-truncated censored survival data with treatment delays
Polyna Khudyakov, Li Xu, Ce Yang +2
The incremental cost-effectiveness ratio (ICER) and incremental net benefit (INB) are widely used for cost-effectiveness analysis. We develop methods for estimation and inference f…
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…
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…
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…
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…
A Penalized Functional Linear Cox Regression Model for Spatially-defined Environmental Exposure with an Estimated Buffer Distance
Jooyoung Lee, Zhibing He, Charlotte Roscoe +5
In environmental health research, it is of interest to understand the effect of the neighborhood environment on health. Researchers have shown a protective association between gree…
Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
Wenze Tang, Donna Spiegelman, Xiaomei Liao +1
Regression calibration as developed by Rosner, Spiegelman and Willet is used to correct the bias in effect estimates due to measurement error in continuous exposures. The method in…