Shuozhi Zuo

I am a postdoctoral fellow in the Department of Statistics at the University of Michigan.

My research interests include causal inference, missing data, and machine learning.

I received my PhD from the University of Colorado.

Email: shuozhi [at] umich.edu

Publications and preprints

1. Zuo, S., Wang, Y., & Yang, F. (2026). Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome.

2. Zuo, S. & Wang, Y. (2026). Environment-adaptive covariate selection: learning when to use spurious correlations for out-of-distribution prediction. 

3. Zuo, S., Ding, P., & Yang, F. (2026). Identifiability of the instrumental variable model with the treatment and outcome missing not at random. JMLR.

4. Zuo, S., Ghosh, D., Ding, P., & Yang, F. (2025). Mediation analysis with the mediator and outcome missing not at random. JASA.

5. Zuo, S., Josey, K. P., Raghavan, S., Yang, F., Juaréz-Colunga, E., & Ghosh, D. (2022). Transportability methods for time-to-event outcomes: application in adjuvant colon cancer trials. JCO CCI.