papers

See Google Scholar for a more complete list.

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 (2024)

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)

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 (2024)

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. 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 (2024)

2. Dynamic Statistical Inference in Massive Datastreams ► Statistica Sinica. (2024)

3. 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)

4. Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation ► arXiv (submitted)

5. A Reinforcement Learning Framework for Dynamic Mediation Analysis ► ICML (2023)

6. A Robust Test for the Stationarity Assumption in Sequential Decision Making ► ICML (2023)

7. Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes ► (submitted)

8. A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results ► PLOS ONE. (2022)

9. Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference ► Biometrika. (2022)

10. Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time ► Psychological Medicine. (2022)

11. Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial ► npj Digital Medicine. (2022)

12. An App-Based Just-in-Time-Adaptive Self-Management Intervention for Care Partners: The CareQOL Feasibility Pilot Study ► Rehabilitation Psychology (2022)

13. 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)

14. The Mobile Assistance for Regulating Smoking (MARS) Micro-Randomized Trial Design Protocol ► Contemporary Clinical Trials (2021)

15. 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 (2024)

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. Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework ► Annals of Statistics (2024)

2. 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)

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. Doubly Inhomogeneous Reinforcement Learning ► (submitted)

6. 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)