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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…
stat.ME2023
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…
stat.ME2016
The competing risks Cox model with and without auxiliary case covariates under weaker or no missing-at-random cause of failure
Daniel Nevo, Reiko Nishihara, Shuji Ogino +1
In the analysis of time-to-event data with multiple causes using a competing risks Cox model, often the cause of failure is unknown for some of the cases. The probability of a miss…