Some papers are not listed below. See Google Scholar for a more complete list.

    Statistical Methods
    Generating Synthetic Electronic Health Record (EHR) Data: A Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software

    Chen et al. (2025). Journal of the American Medical Informatics Association.

    Joint Modeling of Multiple Longitudinal Biomarkers and Survival Outcomes via Threshold Regression: Variability as a Predictor

    Yu et al. (2025+). Submitted.

    Random Forest for Dynamic Risk Prediction of Recurrent Events: A Pseudo-Observation Approach

    Loe et al. (2025). Biostatistics.

    Testing Stationarity and Change Point Detection in Reinforcement Learning

    Li et al. (2025). Annals of Statistics

    Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing

    Wang et al. (2025+). arXiv

    Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework

    Luo et al. (2025). Annals of Statistics.

    Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims

    Du et al. (2025). Statistical Methods in Medical Research.

    A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes

    Yu et al. (2024). Statistics in Medicine.

    ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization

    Li, Wu, Stephenson, Wu. (2024). Journal of Open Source Software.

    Dynamic Statistical Inference in Massive Datastreams

    Wang et al (2024). Statistica Sinica. Accepted.

    Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices

    Yao et al. (2023+). Submitted.

    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

    Chen et al. (2023). Annals of Applied Statistics. Accepted

    Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy

    Wu et al. (2023). Biostatistics.

    Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains

    Li et al. (2023). Annals of Applied Statistics.

    Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation

    Shi, Wu and Dempsey (2023+). arXiv

    A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes

    Chen et al. (2023+). Submitted.

    Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations

    Li, Stephenson, Wu. (2023+). Submitted.

    A Reinforcement Learning Framework for Dynamic Mediation Analysis

    Ge et al. (2023). ICML.

    A Robust Test for the Stationarity Assumption in Sequential Decision Making

    Wang et al. (2023). ICML

    Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies

    Yoshida et al. (2023). Accepted. Conference on Health, Inference, and Learning (CHIL)

    Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes

    Shi, Wu and Dempsey (2022+). Submitted.

    Doubly Inhomogeneous Reinforcement Learning

    Hu et al. (2022+). Submitted.

    Dynamic Survival Transformers for Causal Inference with Electronic Health Records

    Chatha et al. (2022). NeurIPS Workshop on Learning from Time Series for Health.

    Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference

    Shi, Wu and Dempsey (2022). Biometrika.

    Probabilistic Learning of Treatment Trees in Cancer

    Yao et al. (2023). AOAS.

    Kernel Multimodal Continuous Attention

    Moreno et al. (2022). NeurIPS.

    Weakly-supervised Multi-output Regression via Correlated Gaussian Processes

    Chung, Kontar, Wu (2022). INFORMS Journal on Data Science.

    baker: An R package for Nested Partially-Latent Class Models

    Chen et al. (2022+). Submitted.

    Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach

    Li et al. (2021). Biometrics. In press.

    A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures

    Boss et al. (2021). Environmetrics. In Press

    Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach

    Wu and Chen (2020). Statistics in Medicine.

    A Robust Functional EM Algorithm for Incomplete Panel Count Data

    Moreno et al. (2020). NeurIPS.

    A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes

    Wu et al. (2020). Biometrics.

    Bayesian Weakly-Supervised Restricted Latent Class Models

    Wu et al. (2020). In prepration

    Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial

    NeCamp et al. (2020). JMIR.

    Micro-Randomized Trial

    Xu, Wu and Murphy (2018). Wiley StatsRef Statistics Reference Online

    Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets

    Wu et al. (2017). Biostatistics.

    Predicting Survival Time for Metastatic Castration Resistant Prostate Cancer; An Iterative Imputation Approach

    Deng et al. (2016). F1000Research

    Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology

    Wu et al. (2016). Biostatistics.

    Rejoinder to "Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation"

    Frangakis et al. (2015). Biometrics

    Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation

    Frangakis et al. (2015). Biometrics

    Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology

    Wu et al. (2015). JRSS-C

    Estimation of Treatment Effects in Matched-Pair Cluster Randomized Trials by Calibrating Covariate Imbalance between Clusters

    Wu et al. (2014). Biometrics

    Substantive
    Comparing the Power of Low vs High-Precision Methods for Measuring E. coli in Drinking Water in Low-Resource Settings

    Sosa-Moreno et al. (2025). ACS ES&T Water

    Clinician attitudes, opinions and practice patterns regarding inotrope use for cardiac surgery in the USA: a multicentre mixed methods study protocol

    Mathis et al. (2025). BMJ Open

    Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app

    Carlozzi et al. (2025). Archives of Physical Medicine and Rehabilitation

    Pediatric urinary tract infections caused by poultry-associated Escherichia coli

    Aziz et al. (2024). Microbiology Spectrum

    Etiology of acute lower respiratory illness hospitalizations among infants in four countries

    Kubale et al (2023). Open Forum Infectious Diseases.

    Does the Dosing of Mobile-based Just-in-Time-Adaptive Self-Management Prompts Matter? Preliminary Findings from a Pilot Micro-Randomized Study for Caregivers

    Wang et al. (2023). JMIR Formative Research

    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

    Piette et al. (2023). JMIR

    Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners

    Yan. (2023). JMIR (Formative Research)

    Feasibility pilot trial for the Trajectories of Recovery after Intravenous propofol versus inhaled VolatilE anesthesia (THRIVE) Pragmatic Randomized Controlled Trial

    Pennington et al. (2023). BMJ Open. Accepted.

    Using source-associated mobile genetic elements to identify zoonotic extraintestinal E. coli infections

    Liu et al (2023). One Health.

    Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults with Depression: Protocol for a Randomized Controlled Trial

    Kayser et al. (2023). JMIR Research Protocol

    A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results

    Cleary et al. (2022). PLOS ONE.

    Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time

    Horwitz et al. (2022). Psychological Medicine.

    Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial

    Wang et al. (2023). npj Digital Medicine.

    An App-Based Just-in-Time-Adaptive Self-Management Intervention for Care Partners: The CareQOL Feasibility Pilot Study

    Carlozzi et al. (2022). Rehabilitation Psychology

    Parental preferences for STI and cancer vaccines in the US and in China

    Wagner et al. (2022). Value in Health

    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

    Carlozzi et al. (2022). PLoS ONE

    Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults

    Wagner et al. (2022). Journal of Community Health.

    Factors associated with inferior vena cava placement and retrieval for patients with cancer associated thrombosis

    Edupuganti et al. (2021). The American Journal of Medicine.

    Acceptability and feasibility of an app-based just-in-time-adaptive self-management intervention for care partners: Protocol for the CareQOL pilot trial

    Carlozzi et al. (2021). JMIR: Research Protocol.

    The Mobile Assistance for Regulating Smoking (MARS) Micro-Randomized Trial Design Protocol

    Nahum-Shani et al. (2021). Contemporary Clinical Trials.

    Clinical and Sociodemographic Factors Associated with Anticoagulant Use for Cancer Associated Thrombosis.

    Schaefer et al. (2021). Journal of Thrombosis and Thrombolysis.

    Using a Bayesian Approach to Predict Patients’ Health and Response to Treatment

    Zeger SL, Wu Z, Coley Y, et al. (2020). PCORI

    Anticoagulant Medication Adherence for Cancer Associated Thrombosis: A Comparison of LMWH to DOACs

    Schaefer et al. (2020). Journal of Thrombosis and Haemostasis.

    Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.

    Xiang et al. (2020). Journals of Gerontology: Series B.

    Characterization of clinical progression of COVID-19 patients in Shenzhen, China

    Bi et al. (2020). medRxiv.

    Computational Analysis of Continuous Body Temperature Provides Early Discrimination of Graft-versus-Host Disease in Mice

    Kuang et al. (2019). Blood Advances.

    Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study

    PERCH Study Group (2019). The Lancet

    Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study Results from The Michigan Genomics Initiative

    Fritsche et al. (2018). AJHG.

    Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study

    Deloria-Knoll et al. (2017) Clin Infect Dis

    Prediction of overall survival for patients with metastatic castration-resistant prostate cancer; development of a prognostic model through a crowdsourced challenge with open clinical data

    Guinney et al. (2017). The Lancet Oncology

    Lack of Response after Initial Chemoembolization for Hepatocellular Carcinoma: Does It Predict Failure of Subsequent Treatment?

    Georgiades et al. (2012) Radiology