Aims and Scope

The Journal of Biostatistics and Epidemiology (JBE) is an international, peer-reviewed, open-access journal providing a leading platform for methodological, applied, and interdisciplinary research across biostatistics, epidemiology, health data science, and related quantitative disciplines in health and biomedical sciences.

JBE bridges the gap between statistical and epidemiological innovation and their practical application in clinical research, public health, and biomedical science. The journal particularly encourages research that is rigorous, reproducible, transparent, and impactful — with real potential to inform evidence-based decisions in medicine and global health.

Scope and Areas of Interest

JBE welcomes high-quality manuscripts addressing, but not limited to, the following topics:

Biostatistical Methods

• Advanced statistical modeling: generalized linear/mixed models, hierarchical and multilevel models, Bayesian methods
• Survival analysis, time-to-event, and recurrent event modeling
• Missing data methods, measurement error, sensitivity analysis
• Sample size, power, and adaptive clinical trial design
• Statistical methods for high-dimensional, omics, and imaging data
• Resampling methods, simulation studies, and statistical computing

Epidemiological Methods and Study Design

• Causal inference: directed acyclic graphs, propensity scores, instrumental variables, target trial emulation
• Observational, experimental, quasi-experimental, and longitudinal study design
• Systematic reviews, meta-analyses, and network meta-analyses (following PRISMA)
• Pharmacoepidemiology, environmental epidemiology, social epidemiology
• Infectious disease epidemiology, outbreak analysis, and pandemic modeling

Machine Learning, AI, and Health Data Science

• Supervised, unsupervised, and semi-supervised learning in clinical and population health contexts
• Deep learning for medical imaging, text mining, and health signals
• Explainable AI (XAI), fairness, and bias in healthcare algorithms
• Large language models (LLMs) and generative AI in health research
• Federated learning and privacy-preserving methods in health data

Precision Medicine and Genomics

• Statistical genetics: GWAS, polygenic risk scores, Mendelian randomization
• Multi-omics integration: genomics, transcriptomics, proteomics, metabolomics
• Bioinformatics methods and computational biology pipelines
• Biomarker discovery, validation, and clinical utility assessment

Real-World Evidence and Health Systems Research

• Analysis of electronic health records (EHR), claims data, and registries
• Big data analytics and real-world evidence generation
• Health technology assessment, comparative effectiveness, and cost-effectiveness analysis
• Health systems performance, quality improvement, and patient safety research

Public and Global Health Analytics

• Population health modeling, disease burden estimation, and mortality analysis
• Global health research, low- and middle-income country (LMIC) epidemiology
• Spatial epidemiology, geographic information systems (GIS), and cluster detection
• Climate change and environmental determinants of health
• One Health approaches integrating human, animal, and environmental health data

Reproducibility and Open Science

• Replication studies, negative results, and null findings
• Statistical software development, R/Python packages, and computational tools
• Reporting guidelines development and validation (CONSORT, STROBE, TRIPOD, PRISMA extensions)
• Pre-registration, registered reports, and open materials

Types of Manuscripts Accepted

Original Research Articles: Full-length reports of novel empirical or methodological studies.

Methodological Papers: Development, evaluation, or comparison of statistical or epidemiological methods.

Systematic Reviews and Meta-Analyses: Comprehensive evidence synthesis following PRISMA or relevant guidelines.

Short Communications: Brief reports of novel findings or methods (1,500–2,500 words).

Tutorials and Technical Notes: Practical guidance on analytical methods, software, or reproducible workflows.

Registered Reports: Pre-registered study protocols with in-principle acceptance before data collection.

Software and Data Reports: Descriptions of new statistical software, R/Python packages, or curated datasets.

Letters to the Editor / Correspondence: Brief scientific commentary on published articles.

Editorials and Perspectives: Expert commentary on emerging issues, policy, or the future of the field.

Book Reviews: Critical evaluations of relevant textbooks or monographs.

What JBE Does Not Publish

• Clinical case reports without methodological novelty
• Purely descriptive studies lacking analytical or public health significance
• Studies with fundamental methodological flaws not correctable by revision
• Manuscripts not meeting minimum ethical and reporting standards

JBE actively supports submissions from low- and middle-income countries (LMICs) and offers editorial assistance in English-language revision for scientifically meritorious manuscripts from resource-limited settings.