Statistics in Biopharmaceutical Research

期刊名
Statistics in Biopharmaceutical Research

STAT BIOPHARM RES

ISSN / eISSN
1946-6315 / 1946-6315
目标和范围

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 in Biopharmaceutical Research accepts papers that discuss appropriate statistical methodology and information regarding the use of statistics in all phases of research, development, and practice in the pharmaceutical, biopharmaceutical, device, and diagnostics industries. Articles should focus on the development of novel statistical methods, novel applications of current methods, or the innovative application of statistical principles that can be used by statistical practitioners in these disciplines. Areas of application may include statistical methods for drug discovery, including papers that address issues of multiplicity, sequential trials, adaptive designs, etc.; preclinical and clinical studies; genomics and proteomics; bioassay; biomarkers and surrogate markers; models and analyses of drug history, including pharmacoeconomics, product life cycle, detection of adverse events in clinical studies, and postmarketing risk assessment; regulatory guidelines, including issues of standardization of terminology (e.g., CDISC), tolerance and specification limits related to pharmaceutical practice, and novel methods of drug approval; and detection of adverse events in clinical and toxicological studies. Tutorial articles also are welcome. Articles should include demonstrable evidence of the usefulness of this methodology (presumably by means of an application).

The Editorial Board of SBR intends to ensure that the journal continually provides important, useful, and timely information. To accomplish this, the board strives to attract outstanding articles by seeing that each submission receives a careful, thorough, and prompt review.

Authors can choose to publish gold open access in this journal.
研究方向

数学与计算生物学

统计学与概率论

CiteScore
2.90 查看趋势图
CiteScore 学科排名
类别 分区 排名
Mathematics - Statistics and Probability Q2 #80/262
Mathematics - Pharmaceutical Science Q3 #87/171
Web of Science 核心合集
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
类别 (Journal Citation Reports 2023) 分区
MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE Q3
STATISTICS & PROBABILITY - SCIE Q2
H-index
11
出版国家或地区
UNITED STATES
出版商
Taylor and Francis Ltd.
出版周期
Quarterly
出版年份
2009
年文章数
50
Open Access
NO
通讯方式
TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, USA, PA, 19106
认证评论
注: 认证评论选取于全球各个学术评论平台和社交媒体。
The official website of this journal provides two submission URLs. The first one, https://mc.manuscriptcentral.com/amstat, is the general submission portal of the American Statistical Association (not a specific journal). In this portal, you need to choose a specific journal from the dropdown menu in the first column. Please note that this is not the submission URL for another journal, despite the similar appearance.

Additionally, there is another submission portal by Taylor, and it is unclear if the manuscript statuses are interconnected between the two portals. The URL for Taylor's submission portal is https://rp.tandfonline.com/submission/create?journalCode=USBR.
2022-10-26

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