Research Interests

Causal Inference, Semiparametric Theory, Longitudinal Analysis

Working Papers

When Time Reveals Causality: Identification under Unmeasured Confounding from Longitudinal Data

Xiaochuan Shi, Dehan Kong, Linbo Wang

In preparation, 2026.

Towards the Revival of Survival Ratio

Ruixuan Zhao*, Xiaochuan Shi*, Linbo Wang, Torben Martinussen, Eric J. Tchetgen Tchetgen.
* denotes equal contribution

In preparation, 2025.

Removing Sample-to-sample Cross-contamination in High-throughput Sequencing Data

Xiaochuan Shi, Amy Willis

Accepted pending minor revision in Journal of Applied Statistics, 2025.

Publications

Simultaneous Estimation of Multiple Treatment Effects from Observational Studies

Xiaochuan Shi, Dehan Kong, Linbo Wang

Journal of Computational and Graphical Statistics, 2024.

A Machine Learning Approach to Brain Epigenetic Analysis Reveals Kinases Associated with Alzheimer's Disease

Yanting Huang, Xiaobo Sun, Huige Jiang, Shaojun Yu, Chloe Robins, Matthew J. Armstrong, Ronghua Li, Zhen Mei, Xiaochuan Shi, Ekaterina Sergeevna Gerasimov, Philip L. De Jager, David A. Bennett, Aliza P. Wingo, Peng Jin, Thomas S. Wingo, Zhaohui S. Qin

Nature Communications, vol. 12, Article number: 4472, 2021.