Invited and Topic Contributed Sessions

Summary of Invited Sessions

Additional details will be provided soon...

The IBC2026 Invited Session Program has been Confirmed. The sessions include a wide range of topics, including ecology, clinical trials, general modelling approaches, health, epidemiology, environmental health and more.  Congratulations to our presenters!

SESSION INFORMATION

SESSION TITLES (Subject to Change)

A critical assessment of methods for treatment switching in oncology trials
Advancing Biological Research Using Topological Data Analysis and Deep Learning
AI in Genomics
Bayesian Clinical Trials: Innovative Methods for Real-World Challenges
Bayesian spatial and spatio-temporal modeling for public health
Beyond the Map: Cutting-Edge Spatial Models Inspired by Contemporary Applications
Borrowing Strength across Studies and Populations: Modern Strategies for Integrative Inference in Biomedical Research
Data-driven Advances in Mental Health Statistics: Novel Methods for mHealth, Neuroimaging, and Causal Discovery
Debiased Machine Learning – Beyond Average Treatment Effects
Deep Learning for Spatial Modelling
Estimands in Clinical Trials: A Roadmap from Theory to Practice
Evaluation of dynamic surrogate markers for longitudinal studies
Frontiers in Causal Inference: Tackling Modern Challenges
Information monitoring in biological sciences: methods, challenges and applications
Innovative Statistical Methods for Complex Environmental Exposure Analysis
Innovative Statistical Methods for Detecting Treatment Effect Heterogeneity in Clinical Trials
Innovative Yet Clear: What defines good communication of results based on complex clinical trials?
Intelligent Risk Prediction via Causal and Efficient Modeling in Electronic Health Records
Machine Learning Approaches in Personalized Medicine
Methodological and Computational Advances in Joint Modeling of Longitudinal and Time-to-Event Data
Methodological Developments and Applications for Error-Prone Data
Novel Statistical Methodology for Genetic Studies with Longitudinal Phenotypes
Novel Statistical Methods for New Omics Technologies
Practical Considerations for Covariate Adjustment in Clinical Trials
Recent Advances in Causal Mediation Analysis
Recent Advances in Statistical Analysis of Complex Network Data
Recent Methodological Advances for Handling Intercurrent Events in Causal Inference Analyses
Statistical Innovations for Trustworthy AI Driven Decisions in Healthcare
Strengthening (bio)statistics and data science education and research resources in Sub Saharan Africa
The Opportunities and Challenges for Statisticians of Research using Long-Term Agricultural Experiments
Virtual Control Groups in Nonclinical Research: Statistical Foundations, Validation, and Regulatory Perspectives

Summary of Topic Contributed Sessions

Topic Contributed Sessions are organized around a specific topic, while being presented in the same format as contributed sessions. These sessions allow for more specified exploration of a topic, such as in an Invited Session, while permitting additions from broader abstract contributions where appropriate.

Additional details will be provided soon...

SESSION INFORMATION

SESSION TITLES (Subject to Change)

Advanced Statistical Methods to Survival Analysis with Complex Data Structures
Advancing methods for complex longitudinal data in aging research: multivariate endpoints, measurement, and competing risks
Bayesian Advances for Complex Biological and Epidemiological Data
Flexible Survival Analysis Powered by Machine-Learning Methods
Functional Data Analysis beyond Classical Study Designs
Hotly debated topics in Biostatistics: a STRATOS perspective
Innovations in Bayesian methods for Modern Clinical Trial Design and Analysis
Innovations in Spatial Epidemiology: Advancing Equity and Policy through Open Data and Modelling
Modeling Complexities in Modern Genomic and Transcriptomic Data
Modern Approaches to Missing Data in Epidemiological Studies and Real-World Data
Modern Bayesian approaches for structured and unstructured biomedical data
Modern Statistical Learning Approaches for Real-world Digital Health Data
New Statistical Approaches for Health Data: Addressing Measurement Error, Group Differences, and Distributional Shifts
Novel Applications and Methodological Advances for Multi-Source Time-to-Event Data in Cancer Research
Novel Bayesian designs for early phase clinical trials
Novel methods for wearable and mobile apps devices in biomedical studies
Novel Statistical Methods in Survival Analysis
Recent advancement in data integration (in survival analysis)
Recent Advancements in Design and Analysis of Adaptive and Cluster Randomized Trials
Recent advances in Bayesian adaptive dose finding and dose optimization designs for complex clinical trials
Recent Advances in Deep Learning for Time-to-Event Modeling and Survival Analysis
Recent Advances in Hierarchical Likelihood Theory and Applications in Biostatistics
Statistical Advances in Single-Cell and Spatial Genomics

Courtesy Seoul Tourism Organization

Courtesy Seoul Tourism Organization