1. Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes. Xingran Chen, Cheng-Han Yang, Zhenke Wu, Bhramar Mukherjee (submitted) ► [paper link]

2. A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes. Irena Chen, Zhenke Wu, Sioban D Harlow, Carrie A Karvonen-Gutierrez, Michelle M Hood, Michael R Elliott (2025) ► Journal of Applied Statistics [paper link]

3. Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis. Jianqi Feng, Wei Zhao, Zhenke Wu, Chengchun Shi, Xiaodong Yan (2025) ► NeurIPS

4. A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation. Xingran Chen, Tyler McCormick, Bhramar Mukherjee, Zhenke Wu (submitted) ► [paper link]

5. PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing. Jianhan Zhang, Jitao Wang, Chengchun Shi, John Piette, Donglin Zeng, Zhenke Wu (submitted) ► [paper link] [code] [pdf] [poster] [supplement]

6. Generating Synthetic Electronic Health Record (EHR) Data: A Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software. Xingran Chen, Zhenke Wu, Xu Shi, Hyunghoon Cho, Bhramar Mukherjee (2025) ► Journal of the American Medical Informatics Association [paper link] [code] [doi]

7. Testing Stationarity and Change Point Detection in Reinforcement Learning. Mengbing Li, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz (2025) ► Annals of Statistics [paper link] [code]

8. Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing. Jitao Wang, Chengchun Shi, John Piette, Joshua Loftus, Donglin Zeng, Zhenke Wu (submitted) ► [paper link] [poster]

9. Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework. Lan Luo*, Chengchun Shi*, Jitao Wang*, Zhenke Wu, Lexin Li (2025) ► Annals of Statistics [paper link] [doi]

10. Variance as a predictor of health outcomes:using subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and post-menopausal women. Irena Chen, Zhenke Wu, Sioban D Harlow, Carrie A Karvonen-Gutierrez, Michelle M Hood, Michael R Elliott (2024) ► Annals of Applied Statistics [doi] [pdf] [supplement]

11. Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy. Zhenke Wu, Zehang Richard Li, Irena Chen, Mengbing Li (2024) ► Biostatistics [paper link] [code] [supplement] [slides]

12. Etiology of acute lower respiratory illness hospitalizations among infants in four countries. John Kubale*, Stephanie Kujawski*, Irena Chen, Zhenke Wu, Ilham Abu Khader, Iris Hasibra, Brett Whitaker, Lionel Gresh, Artan Simaku, Eric A.F. Simões, Mahmoud Al-Gazo, Shannon Rogers, Susan I. Gerber, Angel Balmaseda, Veronica L. Tallo, Tareq M. Al-Sanouri, Rachael Porter, Silvia Bino, Eduardo Azziz-Baumgartner, Meredith McMorrow, Danielle Hunt, Mark Thompson, Holly M. Biggs, Aubree Gordon (2023) ► Open Forum Infectious Diseases [doi]

13. Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains. Richard Zehang Li, Zhenke Wu, Irena Chen, Samuel Clark (2024) ► Annals of Applied Statistics [code] [doi]

14. An Automatically-Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures. John D Piette, Laura Thomas, Sean Newman, Nicolle Marinec, Joel Krauss, Jenny Chen, Zhenke Wu, Amy SB Bohnert (2023) ► Journal of Medical Internet Research

15. A Reinforcement Learning Framework for Dynamic Mediation Analysis. Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song (2023) ► ICML [paper link] [code]

16. A Robust Test for the Stationarity Assumption in Sequential Decision Making. Jitao Wang, Chengchun Shi, Zhenke Wu (2023) ► ICML [paper link] [code] [pdf]

17. Doubly Inhomogeneous Reinforcement Learning. Liyuan Hu*, Mengbing Li*, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz (submitted) ► [paper link] [code]

18. baker: An R package for Nested Partially-Latent Class Models. Irena Chen, Qiyuan Shi, Scott Zeger, Zhenke Wu (submitted) ► [paper link] [code] [pdf]

19. A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures. Jonathan Boss, Yin-Hsiu Chen, Naveen N. Narisetty, Zhenke Wu, Kelly K. Ferguson, Thomas F. McElrath, John D. Meeker, Bhramar Mukherjee (2021) ► Environmetrics [paper link]

20. Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach. Zhenke Wu, Irena Chen (2020) ► Statistics in Medicine [paper link] [code] [doi] [poster] [supplement] [slides]

21. Characterization of clinical progression of COVID-19 patients in Shenzhen, China. Qifang Bi, Chengcheng Hong, Juan Meng, Zhenke Wu, Pengzheng Zhou, Chenfei Ye, Binbin Sun, Lauren Kucirka, Andrew S Azman, Tong Wang, Jiancong Chen, Zhaoqin Wang, Lei Liu, Justin Lessler, Jessie Edwards, Ting Ma, Guoliang Zhang (2020) ► medRxiv [paper link]