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papers

• Generalized Fitted Q-Iteration With Clustered Data
• PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
• A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning
• Bayesian Joint Modeling of Longitudinal Symptomatology Scale Responses and Fall Outcomes via Heterogeneous Latent Transition Analysis
• A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data
• Dynamic Prediction of Alternating Recurrent Events via Neural Network
• Neural Networks as Linear Regression: An Introduction for Statisticians
• Sparse Longitudinal Functional Principal Component Analysis for Episodic Ambulatory Behavioral Assessments
• Joint Modeling of Multiple Longitudinal Biomarkers and Survival Outcomes via Threshold Regression: Variability as a Predictor
• Prediction-based Inference in Electronic Health Record (EHR)-linked Biobanks with Clinically Informative Outcomes
• Spatially Robust Inference with Predicted and Missing at Random Labels
• Patterns of smartphone typing performance by time awake in US training physicians: implications for unobtrusive ambulatory mental fatigue assessment
• Extreme Rainfall Modifies the Association between Piped Water Intermittency and Water Quality in Low-Resource Settings
• Understanding the Impact of Perceived App Usability on the Efficacy of Mobile Health Intervention for Traumatic Brain Injury Caregivers
• A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes
• A Random Forest Inverse Probability Weighted Pseudo-Observation Framework for Alternating Recurrent Events.
• Depression symptoms among Kenyan healthcare workers and associated factors
• Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis
• A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
• Completion and Compliance Rates for an Intensive mHealth Study Design to Promote Self-Awareness and Self-Care Among Care Partners of Individuals With Traumatic Brain Injury: Data From a Randomized Controlled Trial
• Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
• Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
• Generating Synthetic Electronic Health Record (EHR) Data: A Methodological Scoping Review with Benchmarking on Phenotype Data and Open-Source Software
• Comparing the Power of Low vs High-Precision Methods for Measuring E. coli in Drinking Water in Low-Resource Settings
• Clinician attitudes, opinions and practice patterns regarding inotrope use for cardiac surgery in the USA: a multicentre mixed methods study protocol
• Random Forest for Dynamic Risk Prediction of Recurrent Events: A Pseudo-Observation Approach
• Testing Stationarity and Change Point Detection in Reinforcement Learning
• Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
• Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app
• Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
• Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
• A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
• ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
• Pediatric urinary tract infections caused by poultry-associated Escherichia coli
• Dynamic Statistical Inference in Massive Datastreams
• Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
• 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
• Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
• Etiology of acute lower respiratory illness hospitalizations among infants in four countries
• Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
• Does the Dosing of Mobile-based Just-in-Time-Adaptive Self-Management Prompts Matter? Preliminary Findings from a Pilot Micro-Randomized Study for Caregivers
• 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
• A Reinforcement Learning Framework for Dynamic Mediation Analysis
• A Robust Test for the Stationarity Assumption in Sequential Decision Making
• Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
• Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners
• Feasibility pilot trial for the Trajectories of Recovery after Intravenous propofol versus inhaled VolatilE anesthesia (THRIVE) Pragmatic Randomized Controlled Trial
• Using source-associated mobile genetic elements to identify zoonotic extraintestinal E. coli infections
• Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults with Depression: Protocol for a Randomized Controlled Trial
• Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
• Doubly Inhomogeneous Reinforcement Learning
• A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
• Dynamic Survival Transformers for Causal Inference with Electronic Health Records
• Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference
• Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
• Probabilistic Learning of Treatment Trees in Cancer
• Kernel Multimodal Continuous Attention
• Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
• An App-Based Just-in-Time-Adaptive Self-Management Intervention for Care Partners: The CareQOL Feasibility Pilot Study
• Parental preferences for STI and cancer vaccines in the US and in China
• Weakly-supervised Multi-output Regression via Correlated Gaussian Processes
• 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
• baker: An R package for Nested Partially-Latent Class Models
• Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults
• Factors associated with inferior vena cava placement and retrieval for patients with cancer associated thrombosis
• Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
• Acceptability and feasibility of an app-based just-in-time-adaptive self-management intervention for care partners: Protocol for the CareQOL pilot trial
• The Mobile Assistance for Regulating Smoking (MARS) Micro-Randomized Trial Design Protocol
• A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures
• Clinical and Sociodemographic Factors Associated with Anticoagulant Use for Cancer Associated Thrombosis.
• Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
• Using a Bayesian Approach to Predict Patients’ Health and Response to Treatment
• Anticoagulant Medication Adherence for Cancer Associated Thrombosis: A Comparison of LMWH to DOACs
• A Robust Functional EM Algorithm for Incomplete Panel Count Data
• A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
• Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.
• Characterization of clinical progression of COVID-19 patients in Shenzhen, China
• Bayesian Weakly-Supervised Restricted Latent Class Models
• Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
• Computational Analysis of Continuous Body Temperature Provides Early Discrimination of Graft-versus-Host Disease in Mice
• Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study
• Micro-Randomized Trial
• Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study Results from The Michigan Genomics Initiative
• Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study
• Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets
• 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
• Predicting Survival Time for Metastatic Castration Resistant Prostate Cancer; An Iterative Imputation Approach
• Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
• Rejoinder to "Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation"
• Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation
• Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology
• Estimation of Treatment Effects in Matched-Pair Cluster Randomized Trials by Calibrating Covariate Imbalance between Clusters
• Lack of Response after Initial Chemoembolization for Hepatocellular Carcinoma: Does It Predict Failure of Subsequent Treatment?

teaching

• Foundations and Practice of Modern AI for Health Data Sciences
• Theory and Application of Longitudinal Analysis
• Africa Applied Mathematics Foundations of AI Summer School (AMFAI 2026)
• A Statistician's Guide to Integrating Generative AI into Scientific Research
• Theory and Application of Longitudinal Analysis
• Theory and Application of Longitudinal Analysis
• Theory and Application of Longitudinal Analysis
• Theory and Application of Longitudinal Analysis
• Biostatistical Analysis For Health-Related Studies
• Theory and Application of Longitudinal Analysis
• Theory and Application of Longitudinal Analysis
• Applied Statistics III: Longitudinal Analysis
• Statistical Learning Reading Group
• Applied Statistics III: Longitudinal Analysis
• Statistical Methods for Epidemiology
• Network
• Statistical and Computational Methods for Learning through Graphical Models
• Visualization for Individualized Health
• Methods in Biostatistics (140.653), Lecture 8
• A Survey of Automatic Bayesian Software and Why You Should Care
• Exploring the Posterior Distribution by Markov chain Monte Carlo
• Statistical Methods for Individualizing Health
• Case-based Introduction to Biostatistics

news

• Congrats to Dr. Loe
• Congrats to Dr. Yu
• Jianhan Zhang undergrad best thesis award and highest honors
• PCORI Award
• Xingran Chen ENAR Paper Award
• Congrats to Dr. Wang
• NeurIPS 2025
• Congrats to Dr. Li
• Highlight by AI and Digital Health Innovation
• Abby Loe honored by ASA Gertrude M. Cox Scholarship
• Xingran Chen's paper on synthetic EHR
• Press release
• Editorial Service
• Editorial Service
• Editorial Service
• ASA Biometrics Program Chair
• congrats
• congrats
• congrats
• promotion
• ICSA
• congrats
• congrats
• Media coverage
• congrats
• congrats
• congrats to students
• baker on CRAN!
• Newly funded data science project
• Congrats to Irena and Hera
• Congrats to Mengbing and Irena
• PERCH Main Results out in The Lancet
• Congrats to Tim and Mengbing
• U of Michigan Precision Health Investigator Award
• Michigan Student Symposium for Interdisciplinary Statistical Sciences
• Electronic Health Records Projects
• Our team receives Data Science Challenge Initiative award in mobile health analytics
• Statisticians Impacting Global Public Health
• Teaching a special topics course about graphical models
• Will join U of Michigan Biostat and MIDAS
• Visualization for Individualized Health
• Welcome!

about

• About

team

• Kamron Ramemeier
• Abigail Loe
• Mingyan Yu
• Jianhan Zhang
• Jitao Wang
• Kexin Li
• Mengbing Li
• Kaiyuan Wang
• Peter Yang
• Zihan Wang
• Owen Yoo
• Xingran Chen
• Bolin Wu
• Tsung-Hung Yao
• Irena Chen
• Jieru Shi
• Nicole Wakim
• Chen Chen
• Jiayuan Dong
• Zhongyuan Lyu
• Timothy NeCamp
• Zhenke Wu
• Jing Chu

blog

• Using GenAI Tools in Statistical Research Workflow
• Creat quick search shortcut for use in command line
• Building R Package for Reproducibility: Why, When and How
• Personal Tips for Academic Statisticians Working in OSX
• Testing MathJax

projects

• AI-Powered Cause-of-Death Assistant (CODA) Consortium
• Developing Reinforcement Learning Methods for Building Reliable Interventional Digital Health Systems