← All authors Zhenke Wu University of Michigan (from arXiv:2603.11368, 2026) · ORCID · OpenAlex
26 papers in scope · 25 published · 1 on the econ.EM arXiv · 285 citations · h-index 7 (over the papers listed here)
Papers (1 of 26)
Joint modeling of multiple longitudinal biomarkers and survival outcomes via threshold regression: variability as a predictor
published 2026 · Biometrics
with Mingyan Yu, Michelle M. Hood, Carrie Karvonen-Gutierrez, Sioḃán D. Harlow, Michael R. Elliott
working paper 2026 · arXiv
Using subject-level variability to predict time-varying outcomes: investigating the association between hormone variability and BMD trajectories over the menopausal transition
published 2025 · Journal of Applied Statistics · 1 citations · first circulated 2023
with Irena Chen, Sioḃán D. Harlow, Carrie Karvonen-Gutierrez, Michelle M. Hood, Michael R. Elliott
Generalized Fitted Q‐Iteration With Clustered Data
published 2025 · Stat
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
published 2025 · Journal of the American Statistical Association · 2 citations · first circulated 2023
with Jieru Shi, Walter Dempsey
Testing stationarity and change point detection in reinforcement learning
published 2025 · The Annals of Statistics · 2 citations · first circulated 2022
Outcome adaptive propensity score methods for handling censoring and high-dimensionality: Application to insurance claims
published 2025 · Statistical Methods in Medical Research · 1 citations · first circulated 2022
with Jiacong Du, Youfei Yu, Min Zhang, Andrew M. Ryan, Bhramar Mukherjee
Multivariate dynamic mediation analysis under a reinforcement learning framework
published 2025 · The Annals of Statistics · 2 citations · first circulated 2023
Random forest for dynamic risk prediction of recurrent events: a pseudo-observation approach
published 2024 · Biostatistics · 3 citations · first circulated 2023
with Abigail Loe, Susan L. Murray, Susan Murray
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
published 2024 · Statistics in Medicine · 1 citations
with Mingyan Yu, Margaret T. Hicken, Michael R. Elliott
ddtlcm: An R package for overcoming weak separation inBayesian latent class analysis via tree-regularization
published 2024 · The Journal of Open Source Software · 1 citations · first circulated 2023
with Mengbing Li, Bolin Wu, Briana Stephenson
Dynamic Statistical Learning in Massive Datastreams
published 2024 · Statistica Sinica · 1 citations
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
published 2024 · Biostatistics · 8 citations · first circulated 2021
with Zehang Li, Irena Chen, Mengbing Li
A caveat to using wearable sensor data for COVID-19 detection: The role of behavioral change after receipt of test results
published 2022 · PLoS ONE · 12 citations · first circulated 2021
with Jennifer Cleary, Yu Fang, Srijan Sen
Weakly Supervised Multi-output Regression via Correlated Gaussian Processes
published 2022 · INFORMS Journal on Data Science · 5 citations · first circulated 2020
with Seokhyun Chung, Raed Al Kontar
Improving outcomes for care partners of persons with traumatic brain injury: Protocol for a randomized control trial of a just-in-time-adaptive self-management intervention
published 2022 · PLoS ONE · 6 citations
with Noelle E. Carlozzi, Angelle M. Sander, Sung Won Choi, Jennifer A. Miner, Angela K. Lyden, Christopher Graves, Srijan Sen
Integrating sample similarities into latent class analysis: a tree‐structured shrinkage approach
published 2021 · Biometrics · 9 citations
with Mengbing Li, Daniel E. Park, Maliha Aziz, Cindy M. Liu, Lance B. Price
A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures
published 2021 · Environmetrics · 7 citations
with Jonathan Boss, Alexander Rix, Yin-Hsiu Chen, Naveen N. Narisetty, Kelly K. Ferguson, Thomas F. McElrath, John D. Meeker, Bhramar Mukherjee
Probabilistic cause‐of‐disease assignment using case‐control diagnostic tests: A latent variable regression approach
published 2020 · Statistics in Medicine · first circulated 2019
with Irena Chen
A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes
published 2020 · Biometrics · 6 citations · first circulated 2018
with Livia Casciola-Rosen, Antony Rosen, Scott L. Zeger
Micro‐Randomized Trial
published 2018 · Wiley StatsRef: Statistics Reference Online
with Gongjun Xu, Susan A. Murphy
Estimating autoantibody signatures to detect autoimmune disease patient subsets
published 2017 · Biostatistics · 3 citations
with Livia Casciola-Rosen, Ami A. Shah, Antony Rosen, Scott L. Zeger
Nested partially latent class models for dependent binary data; estimating disease etiology
published 2016 · Biostatistics · 55 citations · first circulated 2015
with Maria Deloria Knoll, Scott L. Zeger
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
published 2015 · Statistics in Medicine · 151 citations
Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation
published 2015 · Biometrics · 9 citations
with Constantine Frangakis, Tianchen Qian, Iván Díaz
Rejoinder to Discussions on: Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation
published 2015 · Biometrics
with Constantine Frangakis, Tianchen Qian, Iván Díaz
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