March 19-22, 2023

 

ENAR 2023 Spring Meeting Preliminary Agenda

Subject to change

Saturday, March 18

3:30 pm – 5:30 pm
Conference Registration

Sunday, March 19

7:30 am – 6:30 pm
Conference Registration

8:00 am – 5:00 pm
SC1 | Introduction to Bayesian Nonparametric Methods for Causal Inference
SC2 | Informative Prior Elicitation Using Historical Data, Expert Opinion, and Other Sources
SC3 | Targeted Learning: Advanced Methods for Causal Machine Learning

8:00 am – 12:00 pm
SC4 | Applied Causal Inference for Real-World Observational Data
SC5 | Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables

10:30 am – 6:30 pm
Fostering Diversity in Biostatistics Workshop

1:00 pm – 5:00 pm
SC6 | An Introduction to Julia for Biostatistics
SC7 | Semi-competing Risks: Accounting for Death as a Competing Risk in Public Health Research When the Outcome of Interest is Non-terminal

3:00 pm – 6:00 pm
Industry Partner Showcase

4:00 pm – 6:30 pm
Career Placement Center

7:30 pm – 8:00 pm
New Member Reception

8:00 pm – 11:00 pm
Opening Mixer and Poster Session

  1. Posters: Bayesian Methods
  2. Posters: Causal Inference
  3. Posters: Clinical Trials and Biopharmaceutical Research Methods
  4. Posters: Epidemiological Methods
  5. Posters: Functional Data Analysis
  6. Posters: High Dimensional and Clustered Data Methods
  7. Posters: Imaging and Neuroscience
  8. Posters: Longitudinal Data Analysis
  9. Posters: Machine Learning and Computational Methods
  10. Posters: Missing Data and Measurement Error
  11. Posters: Multivariate and Survival Methods
  12. Posters: Omics and Biomarkers
  13. Posters: Ordinal and Categorical Data Analysis
  14. Posters: Personalized Medicine and Dynamic Treatment Regimens
  15. Posters: Prediction, Decision Making, and Meta-Analysis
  16. Posters: Spatial/Temporal and Time-Series Modeling
  17. Posters: Statistical Genetics

Monday, March 20

7:30 am – 5:00 pm
Conference Registration

8:30 am – 5:30 pm
Industry Partner Showcase

8:30 am – 10:15 am
T1 | Penalized Regression with Bayesian Shrinkage Priors and Application to Real-World Data

8:30 am – 10:15 am
Scientific Program Sessions

  1. New Insights on Statistical Modeling for Brain Connectivity and Brain Imaging Genomics
  2. Statistical and Machine Learning Methods for Causal Inference with Spatial Data
  3. Frontiers in Analysis of Microbiome Data, from Concepts, Methods to Application
  4. Recent Advances in Methods of Analysis for Mismeasured or Predicted Outcomes in Biomedical Research
  5. Recent Advances in Survival Analysis for Data Integration from Diverse Sources
  6. Recent Advancement of Adaptive Design in the Era of Precision Medicine
  7. In Remembrance and Honor of Dr. Edmund Gehan – A Pioneer Biostatistician, Trail Blazer, and Mentor
  8. Contributed Papers: Adaptive Design/Adaptive Randomization in Clinical Trials
  9. Contributed Papers: Bayesian Learning, Prior Elicitation, and Prediction
  10. Contributed Papers: High Dimensional Data Analysis
  11. Contributed Papers: Causal Inference in Observational and Longitudinal Studies
  12. Contributed Papers: Methods for Randomized Clinical Trials, Surrogate Markers

9:30 am – 4:30 pm
Career Placement Center

10:15 am – 10:30 am
Refreshment Break with Our Industry Partners

10:30 am – 12:15 pm
T2 | Cell-type-aware Differential Analysis for Bulk Transcriptome Data

10:30 am – 12:15 pm
Scientific Program Sessions

  1. New Functional Data Methods for Survival Data
  2. Causal Inference Methods for Assessing the Effect of Environmental and Nutritional Exposures on Public Health
  3. Recent Statistical Advances in Microbiome Data Analysis
  4. Statistical Methods for Dose Optimization in Oncology Trials
  5. Randomization in Clinical Trial Design and Inference: Reducing Chance Imbalance and Addressing Trial Disruptions
  6. Machine Learning with Applications to Emerging Topics in Biomedical Science
  7. Contributed Papers: Clinical Trial Methods
  8. Contributed Papers: Causal Inference and Mediation Analysis
  9. Contributed Papers: Clustered Data Methods
  10. Contributed Papers: Diagnostic and Screening Tests
  11. Contributed Papers: Environmental and Ecological Applications
  12. Contributed Papers: Epidemiological Methods

12:15 pm – 1:30 pm
RT1 | Preparing for the Job Market: Careers in Industry
RT2 | F Grants: What Are They and How Do I Get One?
RT3 | Pathways to Success for Early Career Statisticians
RT4 | Strategies for Success: Grant Writing as an Early Career Researcher
RT5 | Causal Inference in Collaborative Research
RT6 | Statistical Concepts to Teach to Non-Statisticians
RT7 | Balancing Methodological & Collaborative Research
RT8 | Running an Effective Research Group
RT9 | Winner! Winner! How to Nominate and Get Nominated

12:30 pm – 4:30 pm
Regional Advisory Board (RAB)/Regional Committee (RECOM) Luncheon Meeting (by Invitation Only)

1:45 pm – 3:30 pm
T3 | Data Monitoring Committee (DMC) Service 101

1:45 pm – 3:30 pm
Scientific Program Sessions

  1. Advances in Statistical Methods for Cell-Type-Specific Analyses
  2. Brain Functional Connectome in fMRI Studies
  3. Informative Prior Elicitation for Complex Innovative Clinical Trials
  4. Synthetic Control Methods Under Interference
  5. Vanderbilt Biostatistics After 20 years: Lessons Learned and Opportunities Ahead for a Biostatistics Department in a Medical Center
  6. Bayesian Machine Learning for Decision-Making with Incomplete Information
  7. Contributed Papers: Sparse Data Modeling and Methods
  8. Contributed Papers: Estimation and Prediction Under Missingness/Misclassification
  9. Contributed Papers: Regression Models and Methods for Functional Data
  10. Contributed Papers: Methods for Spatiotemporal-varying Covariates and Estimates
  11. Contributed Papers: Statistical Methods for Omics Data
  12. Contributed Papers: Exact Methods, Network Models, Computational Geometry, Data Visualization

3:30 pm – 3:45 pm
Refreshment Break with Our Industry Partners

3:45 pm – 5:30 pm
T4 | Obuchowski-Rockette-Hillis Methodology for Analysis of Radiologic Diagnostic Imaging Studies

3:45 pm – 5:30 pm
Scientific Program Sessions

  1. Recent Developments in Longitudinal Omics Data Analysis
  2. The Emergence of Biostatistics in the mid-20th Century
  3. Data Integration Methodologies and Algorithms: Some New Developments
  4. Recent Advances in Optimal Sampling Design and Estimation Using Validated and Error-prone Data
  5. Kickstart Your Career: How to Maximize Those Early Years
  6. Estimand and Sensitivity Analysis in Clinical Trials: Implementing the ICH-E9 (R1) Guidelines
  7. Contributed Papers: Graphical Models/Methods
  8. Contributed Papers: Bayesian Spatial/Temporal Modeling
  9. Contributed Papers: Education, Consulting, and Health Policy
  10. Contributed Papers: Functional Data Hypothesis Testing and Estimation
  11. Contributed Papers: Neuroimaging Analysis
  12. Contributed Papers: Joint Models for Longitudinal and Survival Data

5:30 pm – 6:30 pm
CENS Networking Mixer

6:00 pm – 8:00 pm
Vanderbilt University Medical Center Reception (by Invitation Only)

6:30 pm – 7:30 pm
President’s Reception (by Invitation Only)

6:30 pm – 8:00 pm
University of Michigan Alumni Reception (by Invitation Only)

Tuesday, March 21

7:30 am – 5:00 pm
Conference Registration

8:30 am – 5:30 pm
Industry Partner Showcase

8:30 am – 10:15 am
Scientific Program Sessions

  1. Recent Advances in Inferential Statistical Methods in Genomics
  2. Deep Learning for Survival Analysis
  3. Incomplete Data in Non-traditional settings: Angles, Functions, and Shapes
  4. Decomposing Admixed Genomics Data: Cell-type-aware Analysis Methodology Advances
  5. New Advances in Multimodal Brain Imaging Integration
  6. Challenges and Opportunities in Biomarker-Driven Trial Design: Adaptive Randomization
  7. Contributed Papers: Measurement Error and Robust Estimation
  8. Contributed Papers: Longitudinal Data and Methods for Biomedical Research
  9. Contributed Papers: Personalized Medicine
  10. Contributed Papers: Missing Data Methods and Applications
  11. Contributed Papers: Variable Subset Selection/Model Selection
  12. Contributed Papers: New Methods in Statistical Genetics and Genomics

9:30 am – 3:30 pm
Career Placement Center

10:15 am – 10:30 am
Refreshment Break with Our Industry Partners

10:30 am – 12:15 pm
Presidential Invited Address

1:45 pm – 3:30 pm
T5 | Statisticians and the Media: Find Your Voice, Build Your Network

1:45 pm – 3:30 pm
Scientific Program Sessions

  1. Not All Censoring is a Survival Problem: Statistical Methods for Censored Covariates
  2. Advances in Statistical Methods for National Disease Registries
  3. Integrative Analysis of Multi-modal Neuroimaging and Multi-omics Data
  4. Statistical Methods for the Analysis of Mobile Health Data
  5. New Statistical Approaches to Complex Multi-modal Brain Imaging Data
  6. IMS Medallion Lecture: Statistical Issues in Genome Wide Association Studies
  7. Contributed Papers: Computational Methods
  8. Contributed Papers: Survival Analysis
  9. Contributed Papers: Advances in Causal Inference
  10. Contributed Papers: Multivariate/nonlinear Models and Methods
  11. Contributed Papers: Integrated-omic Data Analysis, Single-cell/MicroRNA Data Methods
  12. Contributed Papers: Medical/wearable Devices, Agreement, ROC Analysis

3:30 pm – 3:45 pm
Refreshment Break with Our Industry Partners

3:45 pm – 5:30 pm
T6 | Tutorial In Smoothing Methods And Splines

3:45 pm – 5:30 pm
Scientific Program Sessions

  1. Recent Advances in Precision Medicine with High-dimensional Biomedical Data
  2. Recent Advances in Statistical Methods for Neurodegenerative Disease Research
  3. When Machine Learning Meets Missing Data Analysis
  4. PANEL: Collaborating in Team Science: Negotiating Personalities, Mentoring New Researchers, and Oh I How Do I Get Promoted?
  5. Post GWAS: Epigenomics, Transcriptomics, Metabolomics, and Cell Types
  6. Improving Estimation of Difficult to Measure Health Outcomes
  7. PANEL: Foundational Leadership Skill Development for Early Career Professionals
  8. Contributed Papers: Time-series and Spatio/Temporal Modeling
  9. Contributed Papers: High Dimensional, Multivariate, and Missing Data Methods
  10. Contributed Papers: Machine Learning Methods/Applications
  11. Contributed Papers: Genome Wide Association Studies
  12. Contributed Papers: Statistical Methods for Image-based Data Analysis

5:45 pm – 7:00 pm
ENAR Business Meeting and Industry Partner Mixer

Wednesday, March 22

8:00 am – 12:30 pm
Conference Registration

8:00 am – 12:00 pm
Industry Partner Showcase

8:30 am – 10:15 am
Scientific Program Sessions

  1. Analysis of Distributed Health Data: Novel Approaches and Applications
  2. Current Approaches for Accelerating Drug Approvals in Rare Disease
  3. Building Biostatistics Capacity in Sub-Saharan Africa
  4. Individualization, Mobilization, and Beyond
  5. Advances in Continuous-time Causal Inference with Time-varying Treatments
  6. New Developments and Challenges for Statistical Genetics and Genomics
  7. Contributed Papers: Bayesian Methods for High Dimensional/clustered Data
  8. Contributed Papers: Efficient/robust Estimation under a Causal Inference Framework
  9. Contributed Papers: Latent Variables
  10. Contributed Papers: Individualized Treatment Rules/risk Prediction
  11. Contributed Papers: Statistical Methods for High-throughput Sequencing Data
  12. Contributed Papers: Machine learning – Methods and Applications

10:15 am – 10:30 am
Refreshment Break with Our Industry Partners

10:30 am – 12:15 pm
Scientific Program Sessions

  1. Tensor-based Methods in Biomedical Data Science
  2. Methods for Integrating and Analyzing Large Heterogeneous Microbiome Data Sets
  3. Bayesian Methods in Design of Clinical Trials
  4. Advanced Methods for Analyzing Large-Scale Neuroimaging Data from Nationwide Consortiums for Mental Health Research
  5. New Development of Approaches in the Frontiers of Genomic Data Science
  6. New Methods in the Context of Chemical Mixtures on Health Outcomes
  7. Contributed Papers: Statistical Genetics
  8. Contributed Papers: Decision Making, Reference/total Effect Estimation in Meta-analysis
  9. Contributed Papers: Biopharmaceutical Research Methods
  10. Contributed Papers: Epidemiological Studies and Causal Inference
  11. Contributed Papers: Experimental Design, Classification, Prediction
  12. Contributed Papers: Infectious Diseases, Environmental Exposures, and Public Health Applications