STATISTICAL METHODS IN MEDICAL RESEARCH is a leading academic journal dedicated to advancing the field of statistical methodologies as they apply to medical research. Published by SAGE Publications Ltd, this prestigious journal focuses on innovative statistical techniques that are pivotal for health-related data analysis and interpretation. With its Q1 ranking in Epidemiology, Health Information Management, and Statistics and Probability as of 2023, it stands out as a vital resource for researchers and practitioners alike. The journal, which has been in circulation since 1992, is widely recognized for its robust contributions to evidence-based medicine and public health, ensuring that practitioners have access to cutting-edge research. Although it currently does not offer Open Access options, the high-impact nature indicated by its rankings and percentile positions solidifies its importance as a go-to source for statistical theories and applications in health research. Researchers, healthcare professionals, and students are encouraged to explore the rich content of this journal to stay abreast of the latest advancements and methodologies.

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.

Canadian Journal of Statistics - Revue Canadienne de Statistique is a prestigious publication in the field of statistics, managed by Wiley. Since its inception in 1973, this journal has served as an essential resource for researchers, practitioners, and students, offering insights into a diverse range of statistical methodologies and applications. With its impact reflected in its 2023 categorization as Q2 in Statistics and Probability and Q3 in Statistics, Probability and Uncertainty, the journal stands out among its peers, exemplifying rigorous standards in empirical research. The journal's ISSN is 0319-5724 and its E-ISSN is 1708-945X, providing a robust platform for the dissemination of knowledge in the field. While it does not offer open access, the journal remains highly regarded and well-cited, contributing significantly to the advancement of statistical theory and practice. As it continues to publish cutting-edge research through to 2024, the Canadian Journal of Statistics is a must-read for anyone seeking to stay informed on the latest trends and developments in statistics.

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

ENVIRONMETRICS is a leading journal published by Wiley, dedicated to advancing the interdisciplinary field of environmental statistics and ecological modeling. With an ISSN of 1180-4009 and an E-ISSN of 1099-095X, this esteemed journal has been a pivotal resource for researchers and professionals since its inception in 1990, covering innovative methodologies and applications through its convergence years, which extend to 2024. Ranking in the Q2 quartile for both Ecological Modeling and Statistics and Probability in 2023, it stands among the top-tier publications in these fields. ENVIRONMETRICS boasts a robust Scopus ranking, placing it at #89 out of 278 journals in Mathematics - Statistics and Probability and at #22 out of 41 in Environmental Science - Ecological Modeling, illustrating its significance and impact within the academic community. Although it does not operate as an open-access journal, it remains a vital platform for disseminating high-quality research that addresses pressing environmental challenges, fostering collaborations among statisticians, ecologists, and policy-makers alike.

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.

Wiley Interdisciplinary Reviews: Computational Statistics is a leading journal published by WILEY, renowned for its influential contributions to the field of statistics and its application in computational studies. With an impressive impact factor reflected in its 2023 categorization as Q1 in Statistics and Probability, this journal ranks among the top in its category, positioned at 20 out of 278 in Scopus, placing it in the 92nd percentile for its discipline. The journal spans from 2009 to 2024 and offers a rich repository of interdisciplinary insights that encompass both theoretical advancements and practical applications of computational statistics, making it an invaluable resource for researchers, professionals, and students alike. While it does not currently offer open access, the journal's commitment to high-quality, peer-reviewed content ensures that it remains a trusted source for cutting-edge developments and methodologies in the rapidly evolving realm of computational statistics.

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

Methods Data Analyses is a premier open-access journal published by GESIS Leibniz Institute for the Social Sciences, based in Germany. With its focus on advanced methodologies within various fields such as Applied Mathematics, Applied Psychology, Computer Science Applications, and Statistics, this journal plays a pivotal role in disseminating innovative research and practical applications that push the boundaries of quantitative analysis. As of 2023, it proudly holds Q1 status in both Applied Mathematics and Modeling and Simulation, reflecting its high impact and relevance in these disciplines. The journal is committed to promoting open access research since 2013, ensuring that critical methodologies and findings are available to a global audience. With Scopus rankings indicating robust standing across multiple categories, including Statistics and Decision Sciences, Methods Data Analyses stands as an essential resource for researchers, professionals, and students seeking to engage with cutting-edge approaches and frameworks that enhance analytical rigor in their work.