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Zhenke Wu, PhD
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results
active learning
1
 
aging
2
 
bayesian methods
18
 
benchmarking
1
 
biobank
1
 
cancer
9
 
case-control study
3
 
causal inference
11
 
change-point analysis
3
 
clinical trial
7
 
clustering
4
 
covariate adjustment
1
 
data integration
1
 
domain adaptation
1
 
dynamic prediction
1
 
environmental health
1
 
ethical AI
1
 
fairness
1
 
gaussian process
1
 
generative AI
1
 
global health
4
 
image registration
1
 
infectious disease
12
 
insurance claims data
4
 
intensive longitudinal data
1
 
intern health study
9
 
latent class models
10
 
longitudinal data
2
 
machine learning
6
 
mediation analysis
2
 
mental health
2
 
micro-randomized trial
6
 
mobile health
16
 
nonparametric Bayes
3
 
nursing
1
 
nutrition epidemiology
2
 
r
2
 
recurrent events
1
 
reinforcement learning
7
 
review
1
 
semiparametrics
2
 
software
2
 
sparsity
1
 
statistical genetics
1
 
streaming data analysis
1
 
synthetic EHR data
1
 
transfer learning
2
 
variance as predictor
2
 
variational inference
1
 
verbal autopsy
3
 
wearable
6
 
women health
1
 
active learning
1.
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
► Accepted. Conference on Health, Inference, and Learning (CHIL) (2023)
aging
1.
Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults with Depression: Protocol for a Randomized Controlled Trial
► JMIR Research Protocol (2023)
2.
Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.
► Journals of Gerontology: Series B (2020)
bayesian methods
1.
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
► Statistics in Medicine. (2024)
2.
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
► JOSS. (2024)
3.
Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
► (submitted)
4.
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
► Annals of Applied Statistics (Accepted). (2023)
5.
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
► Biostatistics. (2023)
6.
Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
► Annals of Applied Statistics. (2023)
7.
A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes
► (submitted)
8.
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
► (submitted)
9.
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
► Accepted. Conference on Health, Inference, and Learning (CHIL) (2023)
10.
Probabilistic Learning of Treatment Trees in Cancer
► Annals of Applied Statistics. (2022)
11.
Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
► Biometrics. In press. (2021)
12.
Using a Bayesian Approach to Predict Patients’ Health and Response to Treatment
► Patient-Centered Outcomes Research Institute (PCORI) (2020)
13.
A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
► Biometrics (2020)
14.
Bayesian Weakly-Supervised Restricted Latent Class Models
► (2020)
15.
Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study
► Clinical Infectious Diseases (2017)
16.
Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets
► Biostatistics (2017)
17.
Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
► Biostatistics. (2016)
18.
Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology
► Journal of Royal Statistical Society: Series C (Applied Statistics) (2015)
benchmarking
1.
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking
► (submitted)
biobank
1.
Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study Results from The Michigan Genomics Initiative
► American Journal of Human Genetics (2018)
cancer
1.
Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
► Statistical Methods in Medical Research. (2024)
2.
Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
► (submitted)
3.
Probabilistic Learning of Treatment Trees in Cancer
► Annals of Applied Statistics. (2022)
4.
Factors associated with inferior vena cava placement and retrieval for patients with cancer associated thrombosis
► The American Journal of Medicine. (2021)
5.
Clinical and Sociodemographic Factors Associated with Anticoagulant Use for Cancer Associated Thrombosis.
► Journal of Thrombosis and Thrombolysis (2020)
6.
Anticoagulant Medication Adherence for Cancer Associated Thrombosis: A Comparison of LMWH to DOACs
► Journal of Thrombosis and Haemostasis (2020)
7.
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
► The Lancet Oncology (2017)
8.
Predicting Survival Time for Metastatic Castration Resistant Prostate Cancer; An Iterative Imputation Approach
► F1000Research (2016)
9.
Lack of Response after Initial Chemoembolization for Hepatocellular Carcinoma: Does It Predict Failure of Subsequent Treatment?
► Radiology (2012)
case-control study
1.
Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
► Statistics in Medicine (2020)
2.
Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
► Biostatistics. (2016)
3.
Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology
► Journal of Royal Statistical Society: Series C (Applied Statistics) (2015)
causal inference
1.
Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
► Annals of Statistics (2024)
2.
Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
► Statistical Methods in Medical Research. (2024)
3.
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
► arXiv (submitted)
4.
A Reinforcement Learning Framework for Dynamic Mediation Analysis
► ICML (2023)
5.
Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
► (submitted)
6.
Dynamic Survival Transformers for Causal Inference with Electronic Health Records
► NeurIPS 2022 Workshop on Learning from Time Series for Health (2022)
7.
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference
► Biometrika. (2022)
8.
Micro-Randomized Trial
► Wiley StatsRef: Statistics Reference Online (2018)
9.
Rejoinder to "Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation"
► Biometrics (2015)
10.
Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation
► Biometrics (2015)
11.
Estimation of Treatment Effects in Matched-Pair Cluster Randomized Trials by Calibrating Covariate Imbalance between Clusters
► Biometrics (2014)
change-point analysis
1.
A Robust Test for the Stationarity Assumption in Sequential Decision Making
► ICML (2023)
2.
Doubly Inhomogeneous Reinforcement Learning
► (submitted)
3.
Reinforcement Learning in Possibly Nonstationary Environment
► (submitted)
clinical trial
1.
Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app
► Archives of Physical Medicine and Rehabilitation (2025)
2.
Feasibility pilot trial for the Trajectories of Recovery after Intravenous propofol versus inhaled VolatilE anesthesia (THRIVE) Pragmatic Randomized Controlled Trial
► BMJ Open. Accepted (2023)
3.
Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults with Depression: Protocol for a Randomized Controlled Trial
► JMIR Research Protocol (2023)
4.
Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
► npj Digital Medicine. (2022)
5.
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
► PLOS ONE (2022)
6.
Acceptability and feasibility of an app-based just-in-time-adaptive self-management intervention for care partners: Protocol for the CareQOL pilot trial
► JMIR: Research Protocol. (2021)
7.
The Mobile Assistance for Regulating Smoking (MARS) Micro-Randomized Trial Design Protocol
► Contemporary Clinical Trials (2021)
clustering
1.
Doubly Inhomogeneous Reinforcement Learning
► (submitted)
2.
A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
► Biometrics (2020)
3.
Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets
► Biostatistics (2017)
4.
Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology
► Journal of Royal Statistical Society: Series C (Applied Statistics) (2015)
covariate adjustment
1.
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
► arXiv (submitted)
data integration
1.
Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
► Biometrics. In press. (2021)
domain adaptation
1.
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
► Biostatistics. (2023)
dynamic prediction
1.
Random Forest for Dynamic Risk Prediction of Recurrent Events: A Pseudo-Observation Approach
► (submitted)
environmental health
1.
A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures
► Environmetrics (2021)
ethical AI
1.
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
► arXiv (submitted)
fairness
1.
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
► arXiv (submitted)
gaussian process
1.
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes
► INFORMS Journal on Data Science. (2022)
generative AI
1.
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking
► (submitted)
global health
1.
Etiology of acute lower respiratory illness hospitalizations among infants in four countries
► Open Forum Infectious Diseases. (2023)
2.
Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study
► The Lancet. (2019)
3.
Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study
► Clinical Infectious Diseases (2017)
4.
Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology
► Journal of Royal Statistical Society: Series C (Applied Statistics) (2015)
image registration
1.
Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets
► Biostatistics (2017)
infectious disease
1.
Pediatric urinary tract infections caused by poultry-associated Escherichia coli
► Microbiology Spectrum (2024)
2.
Etiology of acute lower respiratory illness hospitalizations among infants in four countries
► Open Forum Infectious Diseases. (2023)
3.
Using source-associated mobile genetic elements to identify zoonotic extraintestinal E. coli infections
► One Health. (2023)
4.
A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
► PLOS ONE. (2022)
5.
Parental preferences for STI and cancer vaccines in the US and in China
► Value in Health (2022)
6.
Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults
► Journal of Community Health. (2022)
7.
Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
► Biometrics. In press. (2021)
8.
Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
► Statistics in Medicine (2020)
9.
Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.
► Journals of Gerontology: Series B (2020)
10.
Characterization of clinical progression of COVID-19 patients in Shenzhen, China
► medRxiv (2020)
11.
Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study
► The Lancet. (2019)
12.
Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study
► Clinical Infectious Diseases (2017)
insurance claims data
1.
Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
► Statistical Methods in Medical Research. (2024)
2.
Factors associated with inferior vena cava placement and retrieval for patients with cancer associated thrombosis
► The American Journal of Medicine. (2021)
3.
Clinical and Sociodemographic Factors Associated with Anticoagulant Use for Cancer Associated Thrombosis.
► Journal of Thrombosis and Thrombolysis (2020)
4.
Anticoagulant Medication Adherence for Cancer Associated Thrombosis: A Comparison of LMWH to DOACs
► Journal of Thrombosis and Haemostasis (2020)
intensive longitudinal data
1.
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
► Statistics in Medicine. (2024)
intern health study
1.
Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
► Annals of Statistics (2024)
2.
Dynamic Statistical Inference in Massive Datastreams
► Statistica Sinica. (2024)
3.
A Reinforcement Learning Framework for Dynamic Mediation Analysis
► ICML (2023)
4.
A Robust Test for the Stationarity Assumption in Sequential Decision Making
► ICML (2023)
5.
A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
► PLOS ONE. (2022)
6.
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
► Psychological Medicine. (2022)
7.
Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
► npj Digital Medicine. (2022)
8.
Reinforcement Learning in Possibly Nonstationary Environment
► (submitted)
9.
Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
► Journal of Medical Internet Research (2020)
latent class models
1.
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
► JOSS. (2024)
2.
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
► Biostatistics. (2023)
3.
Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
► Annals of Applied Statistics. (2023)
4.
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
► (submitted)
5.
Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
► Biometrics. In press. (2021)
6.
Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
► Statistics in Medicine (2020)
7.
A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
► Biometrics (2020)
8.
Bayesian Weakly-Supervised Restricted Latent Class Models
► (2020)
9.
Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
► Biostatistics. (2016)
10.
Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology
► Journal of Royal Statistical Society: Series C (Applied Statistics) (2015)
longitudinal data
1.
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
► Annals of Applied Statistics (Accepted). (2023)
2.
A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes
► (submitted)
machine learning
1.
Random Forest for Dynamic Risk Prediction of Recurrent Events: A Pseudo-Observation Approach
► (submitted)
2.
Dynamic Survival Transformers for Causal Inference with Electronic Health Records
► NeurIPS 2022 Workshop on Learning from Time Series for Health (2022)
3.
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
► Psychological Medicine. (2022)
4.
Kernel Multimodal Continuous Attention
► NeurIPS (2022)
5.
A Robust Functional EM Algorithm for Incomplete Panel Count Data
► NeurIPS2020 (2020)
6.
Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.
► Journals of Gerontology: Series B (2020)
mediation analysis
1.
Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
► Annals of Statistics (2024)
2.
A Reinforcement Learning Framework for Dynamic Mediation Analysis
► ICML (2023)
mental health
1.
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
► Psychological Medicine. (2022)
2.
Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
► Journal of Medical Internet Research (2020)
micro-randomized trial
1.
Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app
► Archives of Physical Medicine and Rehabilitation (2025)
2.
Does the Dosing of Mobile-based Just-in-Time-Adaptive Self-Management Prompts Matter? Preliminary Findings from a Pilot Micro-Randomized Study for Caregivers
► JMIR Formative Research (2023)
3.
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
► arXiv (submitted)
4.
Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
► (submitted)
5.
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference
► Biometrika. (2022)
6.
Micro-Randomized Trial
► Wiley StatsRef: Statistics Reference Online (2018)
mobile health
1.
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
► arXiv (submitted)
2.
Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app
► Archives of Physical Medicine and Rehabilitation (2025)
3.
Dynamic Statistical Inference in Massive Datastreams
► Statistica Sinica. (2024)
4.
Does the Dosing of Mobile-based Just-in-Time-Adaptive Self-Management Prompts Matter? Preliminary Findings from a Pilot Micro-Randomized Study for Caregivers
► JMIR Formative Research (2023)
5.
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
► arXiv (submitted)
6.
A Reinforcement Learning Framework for Dynamic Mediation Analysis
► ICML (2023)
7.
A Robust Test for the Stationarity Assumption in Sequential Decision Making
► ICML (2023)
8.
Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
► (submitted)
9.
A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
► PLOS ONE. (2022)
10.
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference
► Biometrika. (2022)
11.
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
► Psychological Medicine. (2022)
12.
Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
► npj Digital Medicine. (2022)
13.
An App-Based Just-in-Time-Adaptive Self-Management Intervention for Care Partners: The CareQOL Feasibility Pilot Study
► Rehabilitation Psychology (2022)
14.
Acceptability and feasibility of an app-based just-in-time-adaptive self-management intervention for care partners: Protocol for the CareQOL pilot trial
► JMIR: Research Protocol. (2021)
15.
The Mobile Assistance for Regulating Smoking (MARS) Micro-Randomized Trial Design Protocol
► Contemporary Clinical Trials (2021)
16.
Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
► Journal of Medical Internet Research (2020)
nonparametric Bayes
1.
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
► JOSS. (2024)
2.
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
► (submitted)
3.
Probabilistic Learning of Treatment Trees in Cancer
► Annals of Applied Statistics. (2022)
nursing
1.
Improving outcomes for care partners of individuals with traumatic brain injury: Results for a mHealth randomized control trial of the CareQOL app
► Archives of Physical Medicine and Rehabilitation (2025)
nutrition epidemiology
1.
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
► JOSS. (2024)
2.
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
► (submitted)
r
1.
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
► JOSS. (2024)
2.
baker: An R package for Nested Partially-Latent Class Models
► (submitted)
recurrent events
1.
Random Forest for Dynamic Risk Prediction of Recurrent Events: A Pseudo-Observation Approach
► (submitted)
reinforcement learning
1.
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
► arXiv (submitted)
2.
Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
► Annals of Statistics (2024)
3.
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
► Journal of Medical Internet Research. In press (2023)
4.
A Reinforcement Learning Framework for Dynamic Mediation Analysis
► ICML (2023)
5.
A Robust Test for the Stationarity Assumption in Sequential Decision Making
► ICML (2023)
6.
Doubly Inhomogeneous Reinforcement Learning
► (submitted)
7.
Reinforcement Learning in Possibly Nonstationary Environment
► (submitted)
review
1.
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking
► (submitted)
semiparametrics
1.
Rejoinder to "Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation"
► Biometrics (2015)
2.
Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation
► Biometrics (2015)
software
1.
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
► JOSS. (2024)
2.
baker: An R package for Nested Partially-Latent Class Models
► (submitted)
sparsity
1.
A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures
► Environmetrics (2021)
statistical genetics
1.
Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study Results from The Michigan Genomics Initiative
► American Journal of Human Genetics (2018)
streaming data analysis
1.
Dynamic Statistical Inference in Massive Datastreams
► Statistica Sinica. (2024)
synthetic EHR data
1.
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking
► (submitted)
transfer learning
1.
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
► Biostatistics. (2023)
2.
Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
► Annals of Applied Statistics. (2023)
variance as predictor
1.
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
► Statistics in Medicine. (2024)
2.
A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes
► (submitted)
variational inference
1.
Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
► Biometrics. In press. (2021)
verbal autopsy
1.
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
► Biostatistics. (2023)
2.
Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
► Annals of Applied Statistics. (2023)
3.
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
► Accepted. Conference on Health, Inference, and Learning (CHIL) (2023)
wearable
1.
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
► Statistics in Medicine. (2024)
2.
Dynamic Statistical Inference in Massive Datastreams
► Statistica Sinica. (2024)
3.
A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
► PLOS ONE. (2022)
4.
Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
► npj Digital Medicine. (2022)
5.
An App-Based Just-in-Time-Adaptive Self-Management Intervention for Care Partners: The CareQOL Feasibility Pilot Study
► Rehabilitation Psychology (2022)
6.
Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
► Journal of Medical Internet Research (2020)
women health
1.
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
► Annals of Applied Statistics (Accepted). (2023)
Department of Biostatistics
University of Michigan
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