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International Conference on Survival Analysis and Time-to-Event Modeling - (ICSATEM-27)

21st - 22nd June 2027 , Zagreb - Croatia

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Call For Papers

The (ICSATEM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Probability Theory, Statistics are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Survival analysis in clinical trials
  • Time-to-event modeling in epidemiology
  • Applications of survival analysis in healthcare
  • Survival analysis for reliability engineering
  • Time-to-event modeling in social sciences
  • Survival analysis in public health research
  • Applications of survival analysis in finance
  • Time-to-event modeling in environmental studies
  • Survival analysis for product life cycles
  • Applications of survival analysis in marketing
  • Time-to-event modeling in sports analytics
  • Survival analysis in genetics research
  • Applications of survival analysis in insurance
  • Time-to-event modeling in transportation safety
  • Survival analysis for patient outcomes
  • Applications of survival analysis in agriculture
  • Time-to-event modeling in disaster response
  • Survival analysis in social network studies
  • Applications of survival analysis in education
  • Time-to-event modeling in workforce analysis

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.