Statistics in Biopharmaceutical Research

期刊全称Statistics in Biopharmaceutical Research
期刊缩写Stat. Biopharm. Res.
涉及主题数学医学统计计算机科学经济生物内科学计量经济学病理生物信息学机器学习物理临床试验人工智能心理学
期刊介绍

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.

期刊ISSNprint: 1946-6315
历年影响因子
2024年 2023年 2022年 2021年 2020年 2019年 2018年 2017年
1.51.81.5861.4520.7090.920.8260.439
历年发表/被引量
年份20252024202320222021202020192018201720162015201420132012
发表量2752736080947834436150264636
被引量314775794714809653469316312248203194198123
h-Index11
自引率26.70%
涉及的研究领域MATHEMATICAL & COMPUTATIONAL BIOLOGY-STATISTICS & PROBABILITY
中科院2025年分区 ?
大类小类TOP期刊综述期刊
4区3区 数学与计算生物学
4区统计学与概率论
WOS期刊分区

JCR学科分类

JCR分区学科名称收录数据库JCR分区分区排名
MATHEMATICAL & COMPUTATIONAL BIOLOGYSCIEQ459/67
STATISTICS & PROBABILITYSCIEQ271/167

JCI学科分类

JCI分区学科名称收录数据库JCI分区分区排名
MATHEMATICAL & COMPUTATIONAL BIOLOGYSCIEQ346/67
STATISTICS & PROBABILITYSCIEQ279/167
期刊主页https://www.tandfonline.com/journals/usbr20https://www.tandfonline.com/toc/usbr20/current
投稿网址https://mc.manuscriptcentral.com/amstat
出版商Taylor and Francis Ltd.
出版国家(地区)UNITED STATES
出版语言English
出版周期Quarterly
每年出版文章数64
Gold OA文章占比14.02%
原创研究文献占比
(排除综述)
98.00%
SCI收录类型

Science Citation Index Expanded (SCIE)

Scopus (CiteScore)

PubMed链接http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1946-6315%5BISSN%5D
平均审稿周期>12周,或约稿
平均录用比例41%
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