BIOSTATISTICS is a premier academic journal dedicated to the intersection of statistical methodologies and their applications in the field of biomedicine, published by Oxford University Press. With its ISSN 1465-4644 and E-ISSN 1468-4357, the journal has established itself as a crucial resource for researchers and professionals in the broad disciplines of statistics and probability, particularly within medical contexts. The journal proudly holds a Q1 ranking in multiple categories as of 2023, including Medicine (miscellaneous), Statistics and Probability, as well as Statistics, Probability, and Uncertainty, placing it at the forefront of statistical research. It has also achieved notable Scopus rankings, underscoring its influence and reach—ranking 27th in Mathematics (Statistics and Probability) and 94th in Medicine (General Medicine). Although it does not currently offer open access options, BIOSTATISTICS remains committed to advancing scholarly conversation and innovation in statistical science, making it an essential outlet for both established and emerging researchers. With contributions spanning from 2003 to 2024, this journal is actively seeking to foster an understanding of complex statistical approaches in biomedicine, enabling professionals in the field to apply robust statistical techniques to real-world problems.

The Journal of Statistical Planning and Inference, published by ELSEVIER, stands as a significant platform within the fields of applied mathematics and statistics. With a history of rigorous scholarship since its inception in 1977, this journal provides a vital forum for researchers to share their advancements in statistical methodologies, planning, and inference techniques. As of 2023, it holds a respectable impact factor reflected in its Q2 rankings across multiple categories, including Applied Mathematics and Statistics and Probability, showcasing its influence and relevance in academic discourse. The journal is indexed in Scopus, with commendable rankings that affirm its scholarly merit, making it vital for professionals and students seeking the latest developments and research trends in statistical sciences. With a commitment to high-quality publications aimed at fostering innovation and practical solutions in statistical applications, the Journal of Statistical Planning and Inference is essential for anyone involved in empirical research and data-driven decision-making.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

Statistics in Medicine, published by Wiley, is a prestigious journal dedicated to the advancement of statistical methods and their application in biomedical research. Established in 1982, this journal has become a cornerstone in the fields of Epidemiology and Statistics and Probability, demonstrating its importance by consistently achieving a Q1 ranking in the 2023 category quartiles. With an impressive ISSN of 0277-6715 and an E-ISSN of 1097-0258, it serves as a vital platform for disseminating high-quality research that enhances evidence-based medicine. Although the journal does not currently offer open access, it remains highly regarded, holding a Scopus rank of #66 in Mathematics and #80 in Medicine, indicating its significant impact on the academic community. By publishing cutting-edge research, Statistics in Medicine aims to bridge the gap between statistical theory and practical application in health domains, fostering a rigorous dialogue among researchers, clinicians, and statisticians alike.

Statistics and Computing is a premier journal published by Springer, dedicated to advancing the fields of statistics and computational theory. With a strong focus on interdisciplinary research, this journal covers a broad spectrum of topics including, but not limited to, statistical methodologies, computational algorithms, and the latest advancements in data analysis. As of 2023, it proudly holds a Q1 ranking in multiple categories including Computational Theory and Mathematics and Statistics and Probability, underscoring its significant influence and recognition within the academic community. The journal's impact is further demonstrated by its commendable positions in Scopus ranks, making it a valuable resource for researchers, professionals, and students alike. Published in the Netherlands, Statistics and Computing is known for its rigorous peer-review process and commitment to quality, ensuring that only the most impactful research is disseminated to the global audience. Submissions from a diverse range of backgrounds are encouraged, fostering an inclusive environment for innovation and collaboration in the statistics and computing realm.

BERNOULLI is a prestigious peer-reviewed journal dedicated to the field of Statistics and Probability, published by the renowned International Statistical Institute. Since its inception in 1995, this journal has established itself as a vital resource for researchers and professionals, achieving a remarkable impact factor and consistently ranking in the top quartile (Q1) of its category as of 2023. With a strong presence in the Scopus database, where it ranks #64 among 278 journals in Mathematics, it places in the 76th percentile, underscoring its significance in the academic landscape. Although not an open-access journal, its contributions are pivotal for advancing statistical theory and its applications across various disciplines. As Berounlli continues to evolve until 2024, it remains committed to disseminating high-quality research that fosters innovation and supports the global analytics community. The journal’s scope encompasses a wide range of topics in statistics, including but not limited to theoretical statistics, applied statistics, and data analysis, making it an essential read for anyone engaged in statistical research.

BIOMETRICAL JOURNAL is a prestigious academic publication dedicated to advancing the fields of Medicine and Statistics. Published by WILEY since its inception in 1977, this journal plays a critical role in disseminating cutting-edge research and methodologies that bridge the gap between statistical theory and real-world medical applications. With an impressive Q1 ranking in both Medicine (miscellaneous) and Statistics, Probability and Uncertainty, it is recognized for its high-impact contributions to the scientific community. The journal actively encourages submissions that utilize innovative statistical techniques to address complex biomedical issues, making it an essential resource for researchers, professionals, and students aiming to enhance their understanding of quantitative approaches in health and medicine. Although the journal is not open access, its rigorous peer-review process guarantees the quality and relevance of published works, further establishing its significance in the academic landscape.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, published by OXFORD UNIVERSITY PRESS, is a leading academic journal dedicated to advancing the field of statistical methodology. With a distinguished Q1 ranking in both Statistics and Probability and Statistics, Probability and Uncertainty as of 2023, this journal stands at the forefront of statistical research, serving as a vital resource for researchers, professionals, and students alike. The journal has been committed to fostering innovative statistical techniques and methodologies since its inception in 1997, covering a wide scope of topics that push the boundaries of statistical applications in various disciplines. Based in the United Kingdom, the journal maintains its reputation through rigorous peer-review practices and high-quality content, making it an indispensable platform for those looking to disseminate their findings and engage with current trends in statistical science. Although the journal does not offer open access, the impact and scholarly significance of its articles remain profoundly influential in shaping contemporary statistical discourse.

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.