Save the Date!

The Canadian Society for Epidemiology and Biostatistics is pleased to officially announce that the inaugural CSEB Virtual Conference will take place on:

June 16-17, 2026

In recent years, virtual gatherings have offered an additional way to connect our community across regions and disciplines. Following requests from CSEB members to provide more opportunities for knowledge sharing and networking between our in-person biennial conferences and building on lessons learned during the COVID-19 pandemic, we are excited to host a virtual conference in 2026 to maximize accessibility, minimize costs and travel barriers, and create opportunities for participation from a diverse range of voices.

The inaugural CSEB Virtual Conference will bring together researchers, trainees, public health professionals, and policymakers to share cutting-edge work in epidemiology and biostatistics. This online event will feature exciting keynote and panel sessions, concurrent oral presentations, and rapid fire presentations from top-ranked abstracts.

Visit this page often for more event and program details!

Preliminary Program

Registration

Click Here to Register!


All registration fees listed are before tax.

Students & PostDocs
MEMBER
$100.00
NON-MEMBER
$160.00
Faculty / Other
MEMBER
$175.00
NON-MEMBER
$285.00

Day 1: Keynote Speaker

Asking Questions that Matter, Getting Answers that Help

Presented by Dr. Ellie Murray

Ellie Murray
Dr. Ellie Murray is an epidemiologist and biostatistician who specializes in translational methodology to bridge the gap between theoretical methodologists and applied scientists and improve the uptake of novel methods in medicine and public health research. She focuses on causal inference methods to answer comparative effectiveness questions for complex and time-varying treatments using observational data and randomized trials when available, and individual-level simulation modeling when insufficient data exist in the time frame required for decision-making. Dr Murray holds an ScD in Epidemiology and MSc in Biostatistics from Harvard, an MPH in Epidemiology from Columbia University Mailman School of Public Health, and a BSc in Biology from McGill University. She writes the E is for Epi newsletter, cohosts the podcast Casual Inference, and can be found on social media under the handle @epiellie.

Day 2: Keynote Panel

Data Without Borders: The Potential for Distributed Analysis in Canada

Presented by Dr. Kim McGrail, Simon Fraser University and Dr. Jean-Francois Ethier, Université de Sherbrooke; Moderated by Dr. Lisa Lix, University of Manitoba

Kim McGrail
Dr. Kim McGrail
Jean-Francois Ethier
Dr. Jean-Francois Ethier
Lisa Lix
Dr. Lisa Lix

Publication Opportunities

The Canadian Journal of Statistics (CJS) Applications and Case Studies (ACS) Section is dedicated to innovative contributions that advance statistical practice and bridge the gap between research and application, with the application driving the analysis and the statistical methodology supporting the needs of the application. Methodological novelty is welcome but not required; what is essential is that the application meaningfully shapes the analysis.

We invite submissions from CSEB conference delegates whose work aligns with this focus. All submissions are peer-reviewed through the journal's standard process. Submissions centred on routine application of standard statistical methods to a dataset, without drawing broader lessons for statistical practice, are typically better suited to subject-area journals.

We welcome submissions such as:

  • Case studies illustrating how statistical methods are adapted and used creatively in new or complex applied settings, including in biostatistics and public health
  • Innovative applications of statistical methods that yield insight into statistical practice through engagement with real-world problems
  • Descriptions of software tools or data resources, demonstrated through a carefully developed applied analysis showing why they matter for statistical practice
Learn about CJS and the submission process