4 papers
Doubly robust target inference for generalized linear regression with completely missing covariates
Huali Zhao, Ke Deng
Large-scale multipurpose cohort studies and biobanks often omit covariates needed for specific downstream analyses. We study target-population inference for generalized linear regr…
Augmented transfer regression learning for completely missing covariates
Huali Zhao, Tianying Wang
Large-scale population-level datasets, such as the UK Biobank and the All of Us Research Program, often lack covariates needed for a specific analysis, such as genetic or lifestyle…
Simulation-free extrapolation for misspecified models induced by categorizing an error-prone continuous covariate
Huali Zhao, Tianying Wang
Epidemiological studies often categorize continuous exposures for interpretation even when the underlying outcome-exposure association is continuous. The fitted categorical regress…
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
Huali Zhao, Tianying Wang
Motivated by the challenges in analyzing gut microbiome and metagenomic data, this work aims to tackle the issue of measurement errors in high-dimensional regression models that in…