International Journal of Biostatistics

SJR Rank #8,040H-index: 49SJR: 0.715Best quartile: Q2APC: US$2,712
Publisher

Walter de Gruyter GmbH

Country

Germany

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Medicine (miscellaneous)Q2
  • Statistics and ProbabilityQ2
  • Statistics, Probability and UncertaintyQ2

Areas: Decision Sciences · Mathematics · Medicine

Most published research topics

Statistical Methods and InferenceStatistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesStatistical Methods in Clinical TrialsBayesian Methods and Mixture ModelsHealth Systems, Economic Evaluations, Quality of LifeAdvanced Statistical Methods and ModelsOptimal Experimental Design MethodsGene expression and cancer classificationGenetic Associations and Epidemiology

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0306090120

Documents per Year

20222025015304560

Detailed Information

ISSN

1557-4679

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

1.50

References per Document

33.46

Coverage

2005-2026

Scope

The International Journal of Biostatistics (IJB) seeks to publish new biostatistical models and methods, new statistical theory, as well as original applications of statistical methods, for important practical problems arising from the biological, medical, public health, and agricultural sciences with an emphasis on semiparametric methods. Given many alternatives to publish exist within biostatistics, IJB offers a place to publish for research in biostatistics focusing on modern methods, often based on machine-learning and other data-adaptive methodologies, as well as providing a unique reading experience that compels the author to be explicit about the statistical inference problem addressed by the paper. IJB is intended that the journal cover the entire range of biostatistics, from theoretical advances to relevant and sensible translations of a practical problem into a statistical framework. Electronic publication also allows for data and software code to be appended, and opens the door for reproducible research allowing readers to easily replicate analyses described in a paper. Both original research and review articles will be warmly received, as will articles applying sound statistical methods to practical problems. Topics: -Biostatistical methods and models- Statistical theory- Biostatistics computing and applications of statistical methods for important practical problems in the biological, medical, public health, and agricultural sciences

Metrics from SCImago Journal Rank 2025. View on SCImago