Abstract submission
Key dates
| Date | Event |
|---|---|
| 29th of September 2025 | Abstract submission opens |
| 27th of November 2025 | Abstract submission closes |
| 15th of December 2025 | Abstract acceptance notification |
Abstract submission is closed
This joint conference of the Austro-Swiss Region (ROeS), the German Region (DR), and the Polish Region of the International Biometric Society (IBS) will take place in Warszawa, Poland, on 18–21 May 2026. The theme of the conference is Power of Data – Shaping the Future of Life Sciences.
How to submit
Abstract submission guidelines
- Authors are required to submit their abstract online by 27.11.2025 (Thursday).
- Please, select the “Regular session” type (unless you have been invited to present in a keynote, invited, or topic-contributed session).
- Abstracts must be submitted in English, and presentations (both oral and poster) have to be conducted in English. Translation services will not be available.
- According to IBS policy each author can present only one paper.
- Abstracts should not exceed the 400 words.
- An abstract must include title, author(s) and affiliation(s).
- Each abstract may include up to 15 authors, and the presenting author must be clearly indicated.
- Authors should indicate a conference theme which that they feel most closely represents the topic covered and provide keywords.
- Abstracts will be reviewed by the members of the Conference Scientific Committee.
- Abstract submission is free of charge.
- Notification of the acceptance of abstracts will be provided by 15.12.2025 (Monday).
- The CEN organizers are committed to diversity and inclusion (D&I) in the scientific program.
Presentation formats
Presentation formats
Session formats include oral presentations and posters display.
Oral presentations
The presentations will follow a 15/3 format, 15 minutes of presentation followed by 3 minutes for questions.
Posters
Posters should use an A0 portrait format for the session.
Conference themes
Bayesian methods
Causal inference
Censored data, time-to-event analysis
Clinical trials (design, analysis, estimands)
Statistical methods for diagnostic studies
Ecological and agricultural statistics
Statistical methods in epidemiology
Evidence synthesis, meta-analyses
High dimensional data, functional data, genetic and omics data
Machine learning and data science
Missing data
Nonparametric methods
Open and reproducible research, metascience
Spatial modelling
Statistical hypothesis testing
Statistical modelling
Other