Tags

• cancer⁹ 
• causal inference¹¹ 
• latent class models¹⁰ 
• case-control study³ 
• bayesian methods¹⁸ 
• clustering⁴ 
• global health⁴ 
• semiparametrics² 
• first post¹ 
• visualization¹ 
• statistical graphs¹ 
• undergrad course¹ 
• public health major¹ 
• job¹ 
• move¹ 
• graphical model¹ 
• teaching¹ 
• graphical models¹ 
• international health¹ 
• impact¹ 
• mobile health¹⁵ 
• just-in-time adaptive intervention¹ 
• mental health³ 
• image registration¹ 
• infectious disease¹² 
• biobank¹ 
• statistical genetics¹ 
• talk¹ 
• awards² 
• micro-randomized trial⁵ 
• precision health¹ 
• methods¹ 
• statistical learning¹ 
• reading group¹ 
• students⁸ 
• PERCH¹ 
• baker¹ 
• intern health study⁹ 
• wearable⁶ 
• machine learning⁶ 
• aging² 
• insurance claims data⁴ 
• grant¹ 
• environmental health¹ 
• sparsity¹ 
• clinical trial⁶ 
• variational inference¹ 
• data integration¹ 
• software³ 
• r² 
• change-point analysis³ 
• reinforcement learning⁶ 
• gaussian process¹ 
• nonparametric Bayes³ 
• media¹ 
• collaboration¹ 
• verbal autopsy³ 
• active learning¹ 
• mediation analysis² 
• conference¹ 
• promotion¹ 
• nutrition epidemiology² 
• defense² 
• longitudinal data² 
• variance as predictor² 
• covariate adjustment¹ 
• transfer learning² 
• domain adaptation¹ 
• women health¹ 
• recurrent events¹ 
• dynamic prediction¹ 
• student awards¹ 
• tips² 
• professional service¹ 
• streaming data analysis¹ 
• intensive longitudinal data¹ 
• editorial service² 
• synthetic EHR data¹ 
• generative AI¹ 
• benchmarking¹ 
• review¹ 

cancer

• Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
• Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
• Probabilistic Learning of Treatment Trees in Cancer
• Factors associated with inferior vena cava placement and retrieval for patients with cancer associated thrombosis
• Clinical and Sociodemographic Factors Associated with Anticoagulant Use for Cancer Associated Thrombosis.
• Anticoagulant Medication Adherence for Cancer Associated Thrombosis: A Comparison of LMWH to DOACs
• 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
• Lack of Response after Initial Chemoembolization for Hepatocellular Carcinoma: Does It Predict Failure of Subsequent Treatment?

causal inference

• Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
• Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
• Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
• A Reinforcement Learning Framework for Dynamic Mediation Analysis
• Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
• 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
• Micro-Randomized Trial
• Rejoinder to "Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation"
• Deductive Derivation and Turing-Computerization of Semiparametric Efficient Estimation
• Estimation of Treatment Effects in Matched-Pair Cluster Randomized Trials by Calibrating Covariate Imbalance between Clusters

latent class models

• ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
• Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
• Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
• Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
• Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
• Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
• A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
• Bayesian Weakly-Supervised Restricted Latent Class Models
• Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
• Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology

case-control study

• Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
• Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
• Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology

bayesian methods

• 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
• 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
• Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
• A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes
• Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
• Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
• Probabilistic Learning of Treatment Trees in Cancer
• Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
• Using a Bayesian Approach to Predict Patients’ Health and Response to Treatment
• A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
• Bayesian Weakly-Supervised Restricted Latent Class Models
• 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
• Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
• Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology

clustering

• Doubly Inhomogeneous Reinforcement Learning
• A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
• Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets
• Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology

global health

• Etiology of acute lower respiratory illness hospitalizations among infants in four countries
• Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study
• Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study
• Partially Latent Class Models for Case–Control Studies of Childhood Pneumonia Aetiology

semiparametrics

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

first post

• Welcome!

visualization

• Visualization for Individualized Health

statistical graphs

• Visualization for Individualized Health

undergrad course

• Visualization for Individualized Health

public health major

• Visualization for Individualized Health

job

• Will join U of Michigan Biostat and MIDAS

move

• Will join U of Michigan Biostat and MIDAS

graphical model

• 2016 Fall: BIOSTAT830 Graphical Models

teaching

• Teaching a special topics course about graphical models

graphical models

• Teaching a special topics course about graphical models

international health

• Statisticians Impacting Global Public Health

impact

• Statisticians Impacting Global Public Health

mobile health

• Dynamic Statistical Inference in Massive Datastreams
• Does the Dosing of Mobile-based Just-in-Time-Adaptive Self-Management Prompts Matter? Preliminary Findings from a Pilot Micro-Randomized Study for Caregivers
• Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
• A Reinforcement Learning Framework for Dynamic Mediation Analysis
• A Robust Test for the Stationarity Assumption in Sequential Decision Making
• Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
• A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
• 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
• 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
• 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
• Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
• Our team receives Data Science Challenge Initiative award in mobile health analytics

just-in-time adaptive intervention

• Our team receives Data Science Challenge Initiative award in mobile health analytics

mental health

• Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
• Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial
• Our team receives Data Science Challenge Initiative award in mobile health analytics

image registration

• Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets

infectious disease

• Pediatric urinary tract infections caused by poultry-associated Escherichia coli
• Etiology of acute lower respiratory illness hospitalizations among infants in four countries
• Using source-associated mobile genetic elements to identify zoonotic extraintestinal E. coli infections
• A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
• Parental preferences for STI and cancer vaccines in the US and in China
• Vaccine hesitancy during the COVID-19 pandemic: a latent class analysis of middle-aged and older US adults
• Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach
• Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach
• 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
• Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study
• Bayesian Estimation of Pneumonia Etiology: Epidemiologic Considerations and Applications to the Pneumonia Etiology Research for Child Health Study

biobank

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

statistical genetics

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

talk

• Michigan Student Symposium for Interdisciplinary Statistical Sciences

awards

• U of Michigan Precision Health Investigator Award
• Michigan Student Symposium for Interdisciplinary Statistical Sciences

micro-randomized trial

• Does the Dosing of Mobile-based Just-in-Time-Adaptive Self-Management Prompts Matter? Preliminary Findings from a Pilot Micro-Randomized Study for Caregivers
• Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
• Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes
• Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference
• Micro-Randomized Trial

precision health

• U of Michigan Precision Health Investigator Award

methods

• U of Michigan Precision Health Investigator Award

statistical learning

• Statistical Learning Reading Group (Winter, 2019)

reading group

• Statistical Learning Reading Group (Winter, 2019)

students

• congrats
• congrats
• congrats
• congrats
• congrats to students
• Congrats to Irena and Hera
• Congrats to Mengbing and Irena
• Congrats to Tim and Mengbing

PERCH

• PERCH Main Results out in The Lancet

baker

• PERCH Main Results out in The Lancet

intern health study

• Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
• Dynamic Statistical Inference in Massive Datastreams
• A Reinforcement Learning Framework for Dynamic Mediation Analysis
• A Robust Test for the Stationarity Assumption in Sequential Decision Making
• A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
• Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
• Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
• Reinforcement Learning in Possibly Nonstationary Environment
• Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial

wearable

• A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
• Dynamic Statistical Inference in Massive Datastreams
• A Caveat to Using Wearable Sensor Data for COVID-19 Detection: The Role of Behavioral Change after Receipt of Test Results
• 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
• Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns - A Micro-randomized Trial

machine learning

• Random Forest for Dynamic Risk Prediction of Recurrent Events: A Pseudo-Observation Approach
• Dynamic Survival Transformers for Causal Inference with Electronic Health Records
• Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
• Kernel Multimodal Continuous Attention
• A Robust Functional EM Algorithm for Incomplete Panel Count Data
• Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.

aging

• Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults with Depression: Protocol for a Randomized Controlled Trial
• Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning.

insurance claims data

• Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
• Factors associated with inferior vena cava placement and retrieval for patients with cancer associated thrombosis
• Clinical and Sociodemographic Factors Associated with Anticoagulant Use for Cancer Associated Thrombosis.
• Anticoagulant Medication Adherence for Cancer Associated Thrombosis: A Comparison of LMWH to DOACs

grant

• Newly funded data science project

environmental health

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

sparsity

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

clinical trial

• Feasibility pilot trial for the Trajectories of Recovery after Intravenous propofol versus inhaled VolatilE anesthesia (THRIVE) Pragmatic Randomized Controlled Trial
• Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults with Depression: Protocol for a Randomized Controlled Trial
• Effectiveness of gamified competition in the context of mHealth intervention for medical interns: a clustered micro-randomized trial
• 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
• 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

variational inference

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

data integration

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

software

• ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
• baker: An R package for Nested Partially-Latent Class Models
• baker on CRAN!

r

• ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
• baker: An R package for Nested Partially-Latent Class Models

change-point analysis

• A Robust Test for the Stationarity Assumption in Sequential Decision Making
• Doubly Inhomogeneous Reinforcement Learning
• Reinforcement Learning in Possibly Nonstationary Environment

reinforcement learning

• Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
• 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
• Doubly Inhomogeneous Reinforcement Learning
• Reinforcement Learning in Possibly Nonstationary Environment

gaussian process

• Weakly-supervised Multi-output Regression via Correlated Gaussian Processes

nonparametric Bayes

• ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
• Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
• Probabilistic Learning of Treatment Trees in Cancer

media

• Media coverage

collaboration

• Media coverage

verbal autopsy

• Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
• Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains
• Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies

active learning

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

mediation analysis

• Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
• A Reinforcement Learning Framework for Dynamic Mediation Analysis

conference

• ICSA

promotion

• promotion

nutrition epidemiology

• ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
• Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations

defense

• congrats
• congrats

longitudinal data

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

variance as predictor

• A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
• A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes

covariate adjustment

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

transfer learning

• Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy
• Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains

domain adaptation

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

women health

• 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

recurrent events

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

dynamic prediction

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

student awards

• congrats

tips

• Using GenAI Tools in Statistical Research Workflow
• Creat quick search shortcut for use in command line

professional service

• ASA Biometrics Program Chair

streaming data analysis

• Dynamic Statistical Inference in Massive Datastreams

intensive longitudinal data

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

editorial service

• Editorial Service
• Editorial Service

synthetic EHR data

• Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking

generative AI

• Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking

benchmarking

• Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking

review

• Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking