Call For Papers
The ICBEM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Statistics, Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
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 assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.