Biostatistics focuses on developing and applying statistical methods for analyzing complex biological and health-related data. This includes areas such as gene expression analysis, disease risk modeling, clinical trial design, survival analysis, and causal inference. The journal addresses challenges in high-dimensional data, longitudinal studies, and the integration of various data sources for robust statistical inference and prediction.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Medicine (miscellaneous)Q1
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
Mathematical & Computational BiologyStatistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyMedicine (miscellaneous)Statistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Methods and Bayesian InferenceStatistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesGene expression and cancer classificationBayesian Methods and Mixture ModelsGenetic Associations and EpidemiologyHealth Systems, Economic Evaluations, Quality of LifeBioinformatics and Genomic NetworksOptimal Experimental Design Methods