
This webinar brings together leading researchers to discuss recent methodological developments in survival analysis, with a particular focus on spatial survival models, joint modeling approaches, cure rate regression models, and Bayesian inference methods. Participants will gain insights into modern statistical techniques for analyzing time-to-event data and learn how these approaches can be applied to complex challenges in biomedical, epidemiological, and public health research.
The webinar is intended for researchers, graduate students, and practitioners interested in contemporary advances in survival analysis and their practical implementation. Through presentations and discussions with internationally recognized experts, attendees will have the opportunity to explore innovative modeling strategies, emerging research directions, and opportunities for interdisciplinary collaboration in this rapidly evolving area of statistics.
Date: 26 June 2026
Time: 7:00 pm CEST | 1:00 pm EDT
Webinar ID: 884 9524 5137
Webinar Secretariat: journal.webinar@mdpi.com

