Statistics in Biopharmaceutical Research《生物制药研究统计》（季刊）. Statistics in Biopharmaceutical Research ( SBR), publishes articles that focus on the needs of researchers and applied statisticians in biopharmaceutical industries; academic biostatisticians from schools of medicine, veterinary medicine, public health, and pharmacy; statisticians and quantitative analysts working in regulatory agencies (e.g., U.S. Food and Drug Administration and its counterpart in other countries); statisticians with an interest in adopting methodology presented in this journal to their own fields; and nonstatisticians with an interest in applying statistical methods to biopharmaceutical problems.

Statistics and Its Interface《统计及其界面》（季刊）. Explores the interface between the field of statistics and other disciplines, including but not limited to: biomedical sciences, geosciences, computer sciences, engineering, and social and behavioral sciences. Publishes high-quality articles in broad areas of statistical science, emphasizing substantive problems, sound statistical models and methods, clear and efficient computational algorithms, and insightful discussions of the motivating problems.

Statistics and Computing《统计学与计算》（双月刊）. Statistics and Computing is a bi-monthly refereed journal which publishes papers covering the range of the interface between the statistical and computing sciences.

Statistics & Probability Letters《统计学与概率论快报》（月刊）. Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.

Statistics《统计学》（双月刊）. Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate.

Statistical Science《统计科学》（季刊）. The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.

Statistical Papers《统计学文集》（一年9期）. Statistical Papers provides a forum for the presentation and critical assessment of statistical methods. In particular, the journal encourages the discussion of methodological foundations as well as potential applications. The journal Statistical Papers addresses itself to all persons and organizations that have to deal with statistical methods in their own field of work. It attempts to provide a forum for the presentation and critical assessment of statistical methods, in particular for the discussion of their methodological foundations as well as their potential applications.

Statistical Modelling《统计建模》（双月刊）. Statistical Modelling: An International Journal is published by SAGE Publications on behalf of the Statistical Modelling Society. It publishes original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling.

Statistical Methods in Medical Research《医学研究统计方法》（月刊）. Statistical Methods in Medical Research is a highly ranked, peer reviewed scholarly journal and is the leading vehicle for articles in all the main areas of medical statistics and therefore an essential reference for all medical statisticians. It is particularly useful for medical researchers dealing with data and provides a key resource for medical and statistical libraries, as well as pharmaceutical companies.

Statistical Methods & Applications《统计方法与应用》（一年5期）. Statistical Methods & Applications (SMA) is the official journal of the Italian Statistical Society. This international journal fosters the development of statistical methodology and statistical learning, and their applications in biological, ecological, demographic, economic, engineering, financial, medical, epidemiological, social, psychometric and other scientific domains. The journal especially welcomes new methods that have broad applications. It also welcomes well-developed applications in the area of data science and non-heuristic developments in the area of machine learning.