This journal publishes research on statistical methods for analyzing complex data, particularly in clinical trials, health studies, and biological research. Articles focus on developing and evaluating novel statistical approaches for issues such as time-to-event data, heterogeneity in populations and studies, multiple testing, causal inference, and the analysis of longitudinal and multivariate outcomes. The methods often involve Bayesian approaches, mixed-effects models, and machine learning techniques to address challenges like missing data, censoring, and high-dimensional predictors.
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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.
Agricultural and Biological Sciences (miscellaneous)Q1
Applied MathematicsQ1
Biochemistry, Genetics and Molecular Biology (miscellaneous)Q1
Immunology and Microbiology (miscellaneous)Q1
Medicine (miscellaneous)Q1
Statistics and ProbabilityQ1
Subject Classification
Web of Science Categories
BiologyMathematical & Computational BiologyStatistics & Probability
Scopus Categories
Applied MathematicsAgricultural and Biological Sciences (miscellaneous)Biochemistry, Genetics and Molecular Biology (miscellaneous)Immunology and Microbiology (miscellaneous)Medicine (miscellaneous)Statistics and Probability
Research Topics (OpenAlex)
Statistical Methods and Bayesian InferenceStatistical Methods and InferenceStatistical Methods in Clinical TrialsAdvanced Statistical Methods and ModelsAdvanced Causal Inference TechniquesOptimal Experimental Design MethodsBayesian Methods and Mixture ModelsGenetic and phenotypic traits in livestockGene expression and cancer classificationStatistical Distribution Estimation and Applications