• Home  /  Faculty  /  Profiles  /  Yuexia Zhang, PhD
Yuexia Zhang Headshot

Yuexia Zhang, PhD

Assistant Professor, Statistics and Data Science

Contact

Bio

Personal Website

Yuexia Zhang is an Assistant Professor in the Department of Statistics and Data Science at The University of Texas at San Antonio. She previously worked at the University of Toronto as a postdoctoral fellow. She received her PhD degree in Statistics from Fudan University. During her PhD training, she visited the Department of Statistics at the University of Illinois at Urbana-Champaign for one year. Prior to Fudan, she received her bachelor’s degree in Statistics from East China Normal University.

The central theme of her research has been trying to develop new statistical methods to analyze complex data and draw valid conclusions from these. Motivated by many real-world problems, her research has focused on (1) identifying and estimating causal effects in some complicated situations; (2) model selection and post-selection inference; and (3) developing robust statistical inference methods for complex longitudinal data.

 

Research Interests

  • Causal inference
  • Microbiome data analysis
  • High-dimensional statistics
  • Longitudinal data analysis
  • Missing data
  • Robust estimation
  • Measurement error
  • Interdisciplinary research

Degrees

  • PhD Fudan University
  • BS East China Normal University

Publications

  • “Time-varying Mediation Analysis for Incomplete Data with Application to DNA Methylation Study for PTSD,” with Kecheng Wei, Fei Xue, Qi Xu, Yubai Yuan, Guoyou Qin, Agaz Wani, Allison Aiello, Derek Wildman, Monica Uddin and Annie Qu, Annals of Applied Statistics, in press, 2025.
  • “Rank-based Estimation of Propensity Score Weights via Subclassification,” with Linbo Wang, Thomas Richardson and Xiaohua Zhou, The Canadian Journal of Statistics, in press, 2025.
  • “Extracting Causal Relational Rules for Medical Question-Answering Tasks using Large Language Models,” with Md Sohanur Rahman, Anthony Rios and Ke Yang. Proceedings of the 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), New York, NY, USA, 2025, pp. 464-469.
  • “Quality of Life and Appraisal Factors of Patients with Advanced Cancer and Their Family Caregivers,” with Jia Liu, Ting Guan, Xiaomeng Wang, Chunxuan Ma,  Laurel L. Northouse and Lixin Song, Supportive Care in Cancer, Vol. 33, 2025, pp. 471.
  • “Psychometric Properties of the Brief Mishel Uncertainty in Illness Scales for Patients with Advanced Cancer and Their Family Caregivers,” with Ting Guan, Laurel L. Northouse and Lixin Song, BMC Psychology, Vol. 13, 2025, pp. 317.
  • “Weak Signal Identification and Inference in Penalized Likelihood Models for Categorical Responses,” with Peibei Shi, Zhongyi Zhu, Linbo Wang and Annie Qu, Statistics Sinica, Vol. 33, No. 2, 2023, pp. 759-786.
  • “Empirical Likelihood Inference for Longitudinal Data with Covariate Measurement Errors: An Application to the LEAN Study,” with Guoyou Qin, Zhongyi Zhu and Jiajia Zhang, Computational Statistics & Data Analysis, Vol. 175, 2022, pp. 107553.
  • “Estimation of Local Treatment Effects Under the Binary Instrumental Variable Model,” with Linbo Wang, Thomas Richardson and James Robins, Biometrika, Vol. 108, No. 4, 2021, pp. 881-894.
  • “A Novel Robust Approach for Analysis of Longitudinal Data,” with Guoyou Qin, Zhongyi Zhu and Wanghong Xu. Computational Statistics & Data Analysis, Vol. 138, 2019, pp. 83-95.
  • “Robust Estimation in Linear Regression Models for Longitudinal Data with Covariate Measurement Errors and Outliers,” with Guoyou Qin, Zhongyi Zhu and Jiajia Zhang, Journal of Multivariate Analysis, Vol. 168, 2018, pp. 261-275.