International Journal of Biostatistics

Journal Title

International Journal of Biostatistics

INT J BIOSTAT

ISSN / eISSN

2194-573X / 1557-4679

Aims and 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.

Subject Area

MATHEMATICAL & COMPUTATIONAL BIOLOGY

STATISTICS & PROBABILITY

CiteScore

2.10 View Trend

CiteScore Ranking

Category	Quartile	Rank
Mathematics - Statistics and Probability	Q2	#117/262
Mathematics - Statistics, Probability and Uncertainty	Q2	#75/160

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE	Q4
STATISTICS & PROBABILITY - SCIE	Q3

H-index

29

Country/Area of Publication

Germany

Publisher

Walter de Gruyter GmbH

Publication Frequency

Irregular

Year Publication Started

2005

Annual Article Volume

33

Open Access

NO

Contact

BERKELEY ELECTRONIC PRESS, 2809 TELEGRAPH AVENUE, STE 202, BERKELEY, USA, CA, 94705