This journal publishes research on statistical methodologies and their applications, particularly in biostatistics and clinical trials. It focuses on developing and evaluating methods for analyzing complex data, including recurrent events, multiple hypotheses testing, hierarchical composite endpoints, survival data, longitudinal data, and missing data. The journal also covers topics such as sample size calculation, causal inference, measurement error, and the application of machine learning and deep learning in statistical modeling.
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 in Clinical TrialsStatistical Methods and Bayesian InferenceStatistical Methods and InferenceOptimal Experimental Design MethodsAdvanced Statistical Methods and Models