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Statistics | 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: M.-C. Wang; H. Li
Co-Editor-in-Chief: Hongyu Zhao

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

Journal no. 12561

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Editors-in-Chief

Hongyu Zhao, Yale University, USA

Mei-Cheng Wang, Johns Hopkins University, USA

Co-Editor Elect

Hongzhe Li, University of Pennsylvania, USA

Associate Editors

Paul S. Albert, National Institutes of Health, USA

Jianwen Cai, University of North Carolina at Chapel Hill, USA

Tianxi Cai, Harvard School of Public Health, USA

Ivan Chan, Merck & Co., USA

Richard Cook, University of Waterloo, Canada

Debashis Ghosh, University of Colorado, USA

Sujit Kumar Ghosh, North Carolina State University, USA

Wensheng Guo, University of Pennsylvania, USA

Joan Hu, Simon Fraser University, Canada

Jianhua Hu, The University of Texas MD Anderson Cancer Center, USA

Chiung-Yu Huang, Johns Hopkins University, USA

Xuelin Huang, The University of Texas MD Anderson Cancer Center, USA

Hsien Ming James Hung, U.S. Food and Drug Administration, USA

Snehalata Huzurbazar, University of Wyoming, USA

Iuliana Ionita-Laza, Columbia University, USA

Hongkai Ji, Johns Hopkins University, USA

Katerina Kechris, University of Colorado, USA

Christoph Lange, Harvard School of Public Health, USA

Mingyao Li, University of Pennsylvania, USA

Yi Li, University of Michigan, USA

Guanghan (Frank) Liu, Merck Sharp & Dohme, USA

Jun Liu, Harvard University, USA

Shuangge Ma, Yale University, USA

Bin Nan, University of Michigan, USA

Jing Ning, The University of Texas MD Anderson Cancer Center, USA

Wei Pan, University of Minnesota, USA

Zhaohui Qin, Emory University, USA

Douglas Earl Schaubel, University of Michigan, USA

Jianxin Shi, National Cancer Institute, USA

Fengzhu Sun, University of Southern California, USA

Liuquan Sun, Chinese Academy of Sciences, China

Pei Wang, Icahn School of Medicine of Mount Sinai, USA

Sue-Jane Wang, Johns Hopkins University, USA

Grace Yi, University of Waterloo, Canada

Yingye Zheng, Fred Hutchinson Cancer Research Center, USA

Ji Zhu, University of Michigan, USA

Hongtu Zhu, University of North Carolina, USA

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  • 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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    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.

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