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Statistics - Life Sciences, Medicine & Health | Statistics in BioSciences - incl. option to publish open access (Editorial Board)

Statistics in Biosciences

Statistics in Biosciences

Journal of the International Chinese Statistical Association

Co-Editors-in-Chief: J. Pinheiro; H. Zhao; M.-C. Wang

ISSN: 1867-1764 (print version)
ISSN: 1867-1772 (electronic version)

Journal no. 12561

Editors-in-Chief

Xihong Lin, Harvard School of Public Health, Boston, MA

Hongyu Zhao, Yale University, New Haven, CT

Jose Pinheiro, Johnson & Johnson, Raritan, NJ

Associate Editors

Jianwen Cai, University of North Carolina, Chapel Hill, NC

Tianxi Cai, Harvard School of Public Health, Boston, MA

Ivan Chan, Merck & Co., North Wales, PA

Richard Cook, University of Waterloo, Waterloo, Ontario, Canada

Charmaine Dean, Simon Fraser University, Vancouver, Canada

Debashis Ghosh, Pennsylvania State University, College Park

Rob Henderson, Newcastle University, Newcastle upon Tyne, United Kingdom

Amy Herring, University of North Carolina, Chapel Hill, NC

Li Hsu, Fred Hutchinson Cancer Research Center, Seattle, WA

Joan Hu, Simon Fraser University, BC, Canada

Hsien Ming James Hung, U.S. Food and Drug Administration, Silver Spring, MD

Christoph Lange, Harvard School of Public Health, Boston, MA

Hongzhe Li, University of Pennsylvania, Philidelphia, PA

Yi Li, Harvard University, Cambridge, MA

Jun Liu, Harvard University, Cambrige, MA

Wendy Lou, University of Toronto, Toronto, Canada

Bin Nan, University of Michigan, Ann Arbor, MI

Peter Thall, M.D. Anderson Cancer Center, Houston, TX

Sue-Jane Wang, Johns Hopkins University, Baltimore, MD

Alan Zaslavsky, Harvard Medical School, Boston, MA

Ji Zhu, University of Michigan, Ann Arbor, MI

Daowen Zhang, North Carolina State University, Raleigh, NC

 

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  • Aims and Scope

    Aims and Scope

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    Statistics in Biosciences (SIB) is published twice a year in print and electronic form. It aims at development and application of statistical methods and their interface with other quantitative methods, such as computational and mathematical methods, in biological and life science, health science, and biopharmaceutical and biotechnological science.

    SIB publishes scientific papers and review articles in four sections, with the first two sections as the primary sections. Original Articles publish novel statistical and quantitative methods in biosciences. The Bioscience Case Studies and Practice Articles publish papers that advance statistical practice in biosciences, such as case studies, innovative applications of existing methods that further understanding of subject-matter science, evaluation of existing methods and data sources. Review Articles publish papers that review an area of statistical and quantitative methodology, software, and data sources in biosciences. Commentaries provide perspectives of research topics or policy issues that are of current quantitative interest in biosciences, reactions to an article published in the journal, and scholarly essays. Substantive science is essential in motivating and demonstrating the methodological development and use for an article to be acceptable. Articles published in SIB share the goal of promoting evidence-based real world practice and policy making through effective and timely interaction and communication of statisticians and quantitative researchers with subject-matter scientists in biosciences.

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  • Instructions for Authors

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  • Copyright information

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    The copyright to this article is transferred to Springer (respective to owner InternationalChinese Statistical Association and for U.S. government employees: to the extent transferable) effective if and when the article is accepted for publication. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.

    An author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The original publication is available at www.springerlink.com."

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