Statistics in Biopharmaceutical Research
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
Statistics in Biopharmaceutical Research
STAT BIOPHARM RES
ISSN / eISSN
1946-6315 / 1946-6315
Aims and Scope
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.
Subject Area
MATHEMATICAL & COMPUTATIONAL BIOLOGY
STATISTICS & PROBABILITY
CiteScore
2.90
View Trend
CiteScore Ranking
Category | Quartile | Rank |
---|---|---|
Mathematics - Statistics and Probability | Q2 | #80/262 |
Mathematics - Pharmaceutical Science | Q3 | #87/171 |
Web of Science Core Collection
Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
---|---|
Indexed | - |
Category (Journal Citation Reports 2023) | Quartile |
---|---|
MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE | Q3 |
STATISTICS & PROBABILITY - SCIE | Q2 |
H-index
11
Country/Area of Publication
UNITED STATES
Publisher
Taylor and Francis Ltd.
Publication Frequency
Quarterly
Year Publication Started
2009
Annual Article Volume
50
Open Access
NO
Contact
TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, USA, PA, 19106
Verified Reviews
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.
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