Biostatistics

Aims & Scope

Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health.

Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics.

Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data.

The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	1.80

SJR (SCImago Journal Rank)

Year	Value
2024	1.372

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	2797

Journal Citation Indicator

Year	Value
2024	436

---

---

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
• Medline

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Mathematics and Medicine, designed to support cutting-edge academic discovery.

---

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.

• Exploration, normalization, and summaries of high density oligonucleotide array probe level data

  Citation: 8558

  Authors: R. A.

• Adjusting batch effects in microarray expression data using empirical Bayes methods

  Citation: 7005

  Authors: W. Evan, Cheng, Ariel

• Sparse inverse covariance estimation with the graphical lasso

  Citation: 4366

  Authors: Jerome, Trevor, Robert

• Circular binary segmentation for the analysis of array-based DNA copy number data

  Citation: 1823

  Authors: A. B., E. S., R., M.

• Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures

  Citation: 1431

  Authors: Jennifer F., Linda, Birgit, David C., Robert O., Maitreyi, John J., Brent A.

• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis

  Citation: 1176

  Authors: D. M., R., T.

• Estimation of clinical trial success rates and related parameters

  Citation: 1112

  Authors: Chi Heem, Kien Wei, Andrew W

• Small-sample estimation of negative binomial dispersion, with applications to SAGE data

  Citation: 840

  Authors: M. D., G. K.

• Joint modelling of longitudinal measurements and event time data

  Citation: 670

  Authors: R.

• Optimal tests for rare variant effects in sequencing association studies

  Citation: 616

  Authors: S., M. C., X.

---