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.

  • Presents development of statistical methods in quantitative​ biosciences
  • Covers important data applications of statistical​ methods or computational algorithms
  • Emphasized areas are statistics for health/life sciences, biomarkers and precision medicine, neuroimaging statistics, big or high-dimensional data, genetics/genomics statistics, statistical methods and designs for clinical trials
Co-editors-in-chief
  • Mei-Cheng Wang,
  • Hongzhe Li
Publishing model
Hybrid. Open Choice – What is this?
Speed
Submission to first decision: 107 days
Acceptance to publication: 100 days
Usage
Downloads: 14,903 (2018)

Articles

Societies, partners and affiliations

Subscribe

Subscription
$99.00
Note this is only the net price. Taxes will be calculated during checkout.
  • Immediate online access
  • Full Journal access includes all articles
  • Downloadable in PDF
  • Subscription expires 12/31/2019

Advertisement

About this journal

Electronic ISSN
1867-1772
Print ISSN
1867-1764
Abstracted and indexed in
  1. EBSCO Discovery Service
  2. EMBASE
  3. EMBiology
  4. Emerging Sources Citation Index
  5. Gale
  6. Gale Academic OneFile
  7. Google Scholar
  8. Institute of Scientific and Technical Information of China
  9. Japanese Science and Technology Agency (JST)
  10. Naver
  11. OCLC WorldCat Discovery Service
  12. ProQuest Biological Science Database
  13. ProQuest Central
  14. ProQuest Engineering
  15. ProQuest Materials Science and Engineering Database
  16. ProQuest Natural Science Collection
  17. ProQuest SciTech Premium Collection
  18. ProQuest Technology Collection
  19. ProQuest-ExLibris Primo
  20. ProQuest-ExLibris Summon
  21. Reaxys
  22. Research Papers in Economics (RePEc)
  23. SCImago
  24. SCOPUS
Copyright information

Rights and permissions

Springer Nature policies

© International Chinese Statistical Association