About this journal

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.

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ASA Statement on Justice, Equity, Diversity, and Inclusion (JEDI)

The leadership of the American Statistical Association commits to strengthening our professional community by making it more just, equitable, diverse, and inclusive. We affirm that our mission, Promote the Practice and Profession of Statistics, can be realized only by fully embracing justice, equity, diversity, and inclusivity in all of our operations. Individuals embody many traits, so the leadership will work with the members of ASA to create and sustain responsive, flourishing, and safe environments that support individual needs, stimulate intellectual growth, and promote professional advancement for all. We commit to these objectives:

  • Learn from our members and others how to identify and overcome systemic racism and hindering biases of any kind
  • Critically reappraise and improve the effectiveness of our JEDI efforts
  • Identify and develop resources for individuals and organizations in our professional community to enable growth and appreciation for cultural humility
  • Share openly our diversity and inclusion efforts and the solutions we have implemented


Journal metrics

Usage

  • 85K annual downloads/views

Citation metrics

  • 1.5 (2023) Impact Factor
  • Q2 Impact Factor Best Quartile
  • 1.5 (2023) 5 year IF
  • 3.9 (2023) CiteScore (Scopus)
  • Q1 CiteScore Best Quartile
  • 0.915 (2023) SNIP
  • 0.978 (2023) SJR

Speed/acceptance

  • 68 days avg. from submission to first decision
  • 82 days avg. from submission to first post-review decision
  • 39 days avg. from acceptance to online publication
  • 38% acceptance rate

Editorial board

Editor
Toshimitsu Hamasaki, MS, PhD, Professor, The George Washington University, United States
[email protected]

Past Editor
Frank Bretz, PhD, Distinguished Quantitative Research Scientist, Novartis Pharma AG, Switzerland
 
Editorial Coordinator
Jina Lee

Advisory Board
Frank Bretz - PhD, Distinguished Quantitative Research Scientist, Novartis Pharma AG, Switzerland
Christy Chuang-Stein - PhD, Principal Consultant, Chuang-Stein Consulting, United States
Scott R. Evans - MS, PhD, Professor, George Washington University, United States
HM James Hung - PhD, Division Director, U.S. Food and Drug Administration, United States
Lisa LaVange - PhD, Professor, University of North Carolina, United States
Peter Müller - PhD, Professor, University of Texas at Austin, United States
José Pinheiro - PhD, Vice-President/Global Head of Statistical Modeling & Methodology, Janssen Research & Development, United States
Martin Posch - PhD, Professor, Medical University of Vienna, Austria
Steve Snapinn - PhD, Independent Consultant, Seattle-Quilcene Biostatistics, United States
Sue-Jane Wang - PhD, Deputy Director, U.S. Food and Drug Administration, United States

Associate Editors
Ionut Bebu - PhD, Research Professor, The George Washington University, United States
Björn Bornkamp - Dr. rer. nat. (PhD), Senior Director Statistical Consultant, Novartis Pharma, Switzerland
Aloka Chakravarty - PhD, Director, U.S. Food and Drug Administration, United States
Ivan Chan - PhD, Vice President/Head of Hematology Biostatistics, Bristol Myers Squibb, United States
Freda Cooner - PhD, Senior Director, Eli Lilly, United States
Guoqing Diao - PhD, Professor, The George Washington University, United States
Vladimir Dragalin - PhD, Vice President/Scientific Fellow, Janssen Research & Development, United States
Yixin Fang - PhD, Director/Research Fellow, AbbVie Inc., United States
Dean Follmann - PhD, Assistant Director for Biostatistics, National Institute of Allergy and Infectious Diseases, United Statess
Weili He - PhD, Distinguished Research Fellow, AbbVie Inc., United States
Antje Hoering - PhD, President, Cancer Research and Biostatistics, United States
Chinfu Hsiao - PhD, Investigator/Professor, National Health Research Institutes, Taiwan
Bo Huang - PhD, Executive Director, Pfizer, United States
Kelly Van Lancker - PhD, Postdoctoral Researcher, Ghent University, Belgium
Lu Mao - PhD, Associate Professor, University of Wisconsin–Madison, United States
Inna Perevozskaya - MS, PhD, Senior Director, Glaxo SmithKline Research and Development Research Triangle Park, United States
Kentaro Takeda - PhD, Senior Director, Astellas, United States
Lu Tian - PhD, Professor, Stanford University, United States
Jiawei Wei, PhD, Director/Statistical Methodologist, Novartis Pharma, China
Xiaofei Wang - PhD, Professor, Duke University, United States
Dong Xi - PhD, Statistical Advisor, Gilead Sciences, United States
Ting Ye - PhD, Assistant Professor, University of Washington, United States
Sarah Zohar, – PhD, Head of Research Team HeKA, Institut National de la Santé et de la Recherche Médicale, France


Former Editors
Frank Bretz - 2017-2019
Jose Pinheiro - 2014-2016
Steve Snapinn - 2011-2013
Joseph Heyse - 2008-2010
Journals Manager
Eric Sampson 

Abstracting and indexing

Statistics in Biopharmaceutical Research (SBR ) is abstracted/indexed in:

  • EBSCOhost (various)
  • Elsevier BV
    EMBASE
    Scopus
  • Genamics JournalSeek
  • National Library of Medicine
    PubMed
  • Clarivate Analytics
    Biological Abstracts (Online)
    BIOSIS Previews
    Biotechnology Citation Index (Online)
    Science Citation Index Expanded
    Web of Science

Open access

Statistics in Biopharmaceutical Research is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.

Why choose open access?

  1. Increase the discoverability and readership of your article
  2. Make an impact and reach new readers, not just those with easy access to a research library
  3. Freely share your work with anyone, anywhere
  4. Comply with funding mandates and meet the requirements of your institution, employer or funder
  5. Rigorous peer review for every open access article

Article Publishing Charges (APC)

If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.

Use our APC finder to calculate your article publishing charge


Association information

The American Statistical Association (ASA) is a leading professional organisation for statisticians, dedicated to the research and practice of statistics and statistical analysis. It focuses on the development, application, and dissemination of statistical science and operates at the interface of academia, policy, and practice.

Members of ASA are eligible to receive online access to each of the society’s subscription-based journals, online access to Math Horizons and other Taylor & Francis statistics and mathematics journals.

The association publishes the magazine CHANCE and ten journals:

Journal of Nonparametric Statistics
Journal of the American Statistical Association
Journal of Business & Economic Statistics
Journal of Computational and Graphical Statistics
Journal of Statistics and Data Science Education (an open access journal)
Statistics in Biopharmaceutical Research
Statistics and Public Policy (an open access journal)
The American Statistician
Technometrics
Data Science in Science

Explore the American Statistical Association’s portfolio of journals.

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