I am dedicated to developing novel statistical methods tailored for handling complex structured data and addressing associated challenges. My specific areas of interest encompass measurement errors, transfer learning, high-dimensional inference, and compositional data analysis.
If you are interested in my research, please feel free to email me and we can discuss further. Looking forward to working on an interesting research project together.
Publication
- Zhao, H. and Wang, T. (2024). “Debiased high-dimensional regression calibration for errors-in-variables log-contrast models”, Biometrics.
Under Review
- Zhao, H. and Wang, T. (2025+). “A pseudo-simulation extrapolation method for misspecified models with errors-in-variables in epidemiological studies”.
- Zhao, H. and Wang, T. (2025+). “Augmented transfer regression learning for handling completely missing covariates”.
- Zhao, H. and Wang, T. (2025+). “A doubly robust transfer learning method for completely missing binary covariates”.