Statistics in Biosciences

Aims & Scope

Statistics in Biosciences (SIB) is published three times 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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.4
2024	0.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.403

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	21

Journal Rank

Year	Value
2024	13732

Journal Citation Indicator

Year	Value
2024	85

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The Net Reclassification Index (NRI): A Misleading Measure of Prediction Improvement Even with Independent Test Data Sets

  Citation: 148

  Authors: Margaret S., Jing, Ziding, Thomas, Jorgen

• Comparative Effectiveness of Dynamic Treatment Regimes: An Application of the Parametric G-Formula

  Citation: 131

  Authors: Jessica G., Lauren E., James M., Eilis J., Miguel A.

• Tucker Tensor Regression and Neuroimaging Analysis

  Citation: 107

  Authors: Xiaoshan, Da, Hua, Lexin

• Improved Horvitz–Thompson Estimation of Model Parameters from Two-phase Stratified Samples: Applications in Epidemiology

  Citation: 104

  Authors: Norman E., Thomas, Christie M., Lloyd E., Michal

• Accelerometry Data in Health Research: Challenges and Opportunities

  Citation: 92

  Authors: Marta, Jiawei, Marcin, Jaroslaw, Nancy W., Tamara, Vadim, Ciprian, Jacek K.

• Organizing and Analyzing the Activity Data in NHANES

  Citation: 76

  Authors: Andrew, Junrui, Ekaterina, Elizabeth J, Quy, Elham, Lucia, Vadim, Jacek K, Ciprian

• Understanding Landmarking and Its Relation with Time-Dependent Cox Regression

  Citation: 74

  Authors: Hein, Hans C.

• eQTL Mapping Using RNA-seq Data

  Citation: 72

  Authors: Wei, Yijuan

• Q-Learning: Flexible Learning About Useful Utilities

  Citation: 62

  Authors: Erica E. M., Nema, Yue Ru

• On Monitoring Outcomes of Medical Providers

  Citation: 61

  Authors: John D., Robert A.

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