ENAR 2023 Spring Meeting 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

13. New Functional Data Methods for Survival Data
14. Causal Inference Methods for Assessing the Effect of Environmental and Nutritional Exposures on Public Health
15. Recent Statistical Advances in Microbiome Data Analysis
16. Statistical Methods for Dose Optimization in Oncology Trials
17. Randomization in Clinical Trial Design and Inference: Reducing Chance Imbalance and Addressing Trial Disruptions
18. Machine Learning with Applications to Emerging Topics in Biomedical Science
19. Contributed Papers: Clinical Trial Methods
20. Contributed Papers: Causal Inference and Mediation Analysis
21. Contributed Papers: Clustered Data Methods
22. Contributed Papers: Diagnostic and Screening Tests
23. Contributed Papers: Environmental and Ecological Applications
24. 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

25. Advances in Statistical Methods for Cell-Type-Specific Analyses
26. Brain Functional Connectome in fMRI Studies
27. Informative Prior Elicitation for Complex Innovative Clinical Trials
28. Synthetic Control Methods Under Interference
29. Vanderbilt Biostatistics After 20 years: Lessons Learned and Opportunities Ahead for a Biostatistics Department in a Medical Center
30. Bayesian Machine Learning for Decision-Making with Incomplete Information
31. Contributed Papers: Sparse Data Modeling and Methods
32. Contributed Papers: Estimation and Prediction Under Missingness/Misclassification
33. Contributed Papers: Regression Models and Methods for Functional Data
34. Contributed Papers: Methods for Spatiotemporal-varying Covariates and Estimates
35. Contributed Papers: Statistical Methods for Omics Data
36. 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

37. Recent Developments in Longitudinal Omics Data Analysis
38. The Emergence of Biostatistics in the mid-20th Century
39. Data Integration Methodologies and Algorithms: Some New Developments
40. Recent Advances in Optimal Sampling Design and Estimation Using Validated and Error-prone Data
41. Kickstart Your Career: How to Maximize Those Early Years
42. Estimand and Sensitivity Analysis in Clinical Trials: Implementing the ICH-E9 (R1) Guidelines
43. Contributed Papers: Graphical Models/Methods
44. Contributed Papers: Bayesian Spatial/Temporal Modeling
45. Contributed Papers: Education, Consulting, and Health Policy
46. Contributed Papers: Functional Data Hypothesis Testing and Estimation
47. Contributed Papers: Neuroimaging Analysis
48. 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

49. Recent Advances in Inferential Statistical Methods in Genomics
50. Deep Learning for Survival Analysis
51. Incomplete Data in Non-traditional settings: Angles, Functions, and Shapes
52. Decomposing Admixed Genomics Data: Cell-type-aware Analysis Methodology Advances
53. New Advances in Multimodal Brain Imaging Integration
54. Challenges and Opportunities in Biomarker-Driven Trial Design: Adaptive Randomization
55. Contributed Papers: Measurement Error and Robust Estimation
56. Contributed Papers: Longitudinal Data and Methods for Biomedical Research
57. Contributed Papers: Personalized Medicine
58. Contributed Papers: Missing Data Methods and Applications
59. Contributed Papers: Variable Subset Selection/Model Selection
60. 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

61. Not All Censoring is a Survival Problem: Statistical Methods for Censored Covariates
62. Advances in Statistical Methods for National Disease Registries
63. Integrative Analysis of Multi-modal Neuroimaging and Multi-omics Data
64. Statistical Methods for the Analysis of Mobile Health Data
65. New Statistical Approaches to Complex Multi-modal Brain Imaging Data
66. IMS Medallion Lecture: Statistical Issues in Genome Wide Association Studies
67. Contributed Papers: Computational Methods
68. Contributed Papers: Survival Analysis
69. Contributed Papers: Advances in Causal Inference
70. Contributed Papers: Multivariate/nonlinear Models and Methods
71. Contributed Papers: Integrated-omic Data Analysis, Single-cell/MicroRNA Data Methods
72. 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

73. Recent Advances in Precision Medicine with High-dimensional Biomedical Data
74. Recent Advances in Statistical Methods for Neurodegenerative Disease Research
75. When Machine Learning Meets Missing Data Analysis
76. PANEL: Collaborating in Team Science: Negotiating Personalities, Mentoring New Researchers, and Oh I How Do I Get Promoted?
77. Post GWAS: Epigenomics, Transcriptomics, Metabolomics, and Cell Types
78. Improving Estimation of Difficult to Measure Health Outcomes
79. PANEL: Foundational Leadership Skill Development for Early Career Professionals
80. Contributed Papers: Time-series and Spatio/Temporal Modeling
81. Contributed Papers: High Dimensional, Multivariate, and Missing Data Methods
82. Contributed Papers: Machine Learning Methods/Applications
83. Contributed Papers: Genome Wide Association Studies
84. Contributed Papers: Statistical Methods for Image-based Data Analysis

5:45 pm – 6:15 pm
DEI Townhall

6:15 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

85. Analysis of Distributed Health Data: Novel Approaches and Applications
86. Current Approaches for Accelerating Drug Approvals in Rare Disease
87. Building Biostatistics Capacity in Sub-Saharan Africa
88. Individualization, Mobilization, and Beyond
89. Advances in Continuous-time Causal Inference with Time-varying Treatments
90. New Developments and Challenges for Statistical Genetics and Genomics
91. Contributed Papers: Bayesian Methods for High Dimensional/clustered Data
92. Contributed Papers: Efficient/robust Estimation under a Causal Inference Framework
93. Contributed Papers: Latent Variables
94. Contributed Papers: Individualized Treatment Rules/risk Prediction
95. Contributed Papers: Statistical Methods for High-throughput Sequencing Data
96. 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

97. Tensor-based Methods in Biomedical Data Science
98. Methods for Integrating and Analyzing Large Heterogeneous Microbiome Data Sets
99. Bayesian Methods in Design of Clinical Trials
100. Advanced Methods for Analyzing Large-Scale Neuroimaging Data from Nationwide Consortiums for Mental Health Research
101. New Development of Approaches in the Frontiers of Genomic Data Science
102. New Methods in the Context of Chemical Mixtures on Health Outcomes
103. Contributed Papers: Statistical Genetics
104. Contributed Papers: Decision Making, Reference/total Effect Estimation in Meta-analysis
105. Contributed Papers: Biopharmaceutical Research Methods
106. Contributed Papers: Epidemiological Studies and Causal Inference
107. Contributed Papers: Experimental Design, Classification, Prediction
108. Contributed Papers: Infectious Diseases, Environmental Exposures, and Public Health Applications