On-location / Digital Conference

International Conference on Biostatistics and Epidemiological Modeling (ICBEM-26)

28th - 29th Jul 2026,Denver, USA

In Association With:

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Call for Paper


Important Dates


Early Bird Registration

28th Jun 2026

Paper Submission Deadline

3rd July 2026

Registration Deadline

13th July 2026

Conference Date

28th - 29th Jul 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Denver ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Denver conference.
  • Peer Review Process:
    The peer review process will begin soon for Denver conference.
  • Networking with Global Experts:
    Join global experts at our conference in Denver.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICBEM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Biostatistics and Epidemiological Modeling, encouraging applied research, case studies, and industry-driven innovations.

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

  • Biostatistical methods in epidemiology
  • Statistical modeling of health data
  • Bayesian approaches in biostatistics
  • Statistical methods for clinical trials
  • Causal inference in biostatistical research
  • Statistical techniques for survival analysis
  • Applications of biostatistics in public health
  • Statistical methods for genetic epidemiology
  • Data analysis in biostatistical research
  • Statistical tools for health disparities analysis
  • Biostatistics in environmental health studies
  • Statistical methods for infectious disease modeling
  • Machine learning applications in biostatistics
  • Statistical software for biostatistical analysis
  • Ethics in biostatistical research
  • Statistical challenges in health data analysis
  • Biostatistical methods for observational studies
  • Statistical education for biostatisticians
  • Future trends in biostatistics research
  • Statistical methods for health intervention studies

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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