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.
投稿要求
CITESCORE
CiteScore SJR SNIP CiteScore排名
2.80 0.749 0.944 学科 分区 排名 百分位
大类:Mathematics
小类:Statistics and Probability Q2 108 / 293 63%
大类:Mathematics
小类:Pharmaceutical Science Q3 97 / 185 47%
WOS期刊JCR分区
WOS分区等级:
2区| 按JIF指标学科分区 | 收录子集 | JIF分区 | JIF排名 | JIF百分位 |
| 学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY | SCIE | Q4 | 59/67 |
|
| 学科:STATISTICS & PROBABILITY | SCIE | Q2 | 71/167 |
|
| 按JCI指标学科分区 | 收录子集 | JCI分区 | JCI排名 | JCI百分位 |
| 学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY | SCIE | Q3 | 46/67 |
|
| 学科:STATISTICS & PROBABILITY | SCIE | Q2 | 79/167 |
|
期刊分区表预警名单
2025年03月发布的2025版:不在预警名单中
2024年02月发布的2024版:不在预警名单中
2023年01月发布的2023版:不在预警名单中
2021年12月发布的2021版:不在预警名单中
2020年12月发布的2020版:不在预警名单中
中科院2025年3月升级版
点击查看中国科学院期刊分区趋势图| 大类学科 | 小类学科 | Top期刊 | 综述期刊 |
|---|
| 医学 2区4区2区 | MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学 | 4区1区3区 | STATISTICS & PROBABILITY 统计学与概率论 | 3区1区4区 |
| 否 | 否 |
中科院2023年12月旧的升级版
| 大类学科 | 小类学科 | Top期刊 | 综述期刊 |
|---|
| 医学 4区4区3区 | MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学 | 2区1区3区 | STATISTICS & PROBABILITY 统计学与概率论 | 2区3区4区 |
| 否 | 否 |