Statistics in Biopharmaceutical Research

SJR Rank #6,041H-index: 29SJR: 0.874Best quartile: Q1
Journal website: aims, scope and author guidelines
Publisher

Taylor and Francis Ltd.

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.30.60.91.2

Subject Categories

  • Pharmaceutical ScienceQ1
  • Statistics and ProbabilityQ1

Areas: Mathematics · Pharmacology, Toxicology and Pharmaceutics

Most published research topics

Statistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesHealth Systems, Economic Evaluations, Quality of LifeOptimal Experimental Design MethodsStatistical Methods and Bayesian InferenceStatistical Methods and InferenceMeta-analysis and systematic reviewsBiosimilars and Bioanalytical MethodsComputational Drug Discovery MethodsAdvanced Statistical Process Monitoring

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs055110165220

Documents per Year

202220250306090120

Detailed Information

ISSN

1946-6315

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

1.36

References per Document

29.25

Coverage

2011-2026

Scope

Statistics in Biopharmaceutical Research ( SBR), publishes articles that focus on the needs of researchers and applied statisticians in biopharmaceutical industries; academic biostatisticians from schools of medicine, veterinary medicine, public health, and pharmacy; statisticians and quantitative analysts working in regulatory agencies (e.g., U.S. Food and Drug Administration and its counterpart in other countries); statisticians with an interest in adopting methodology presented in this journal to their own fields; and nonstatisticians with an interest in applying statistical methods to biopharmaceutical problems. Statistics in Biopharmaceutical Research accepts papers that discuss appropriate statistical methodology and information regarding the use of statistics in all phases of research, development, and practice in the pharmaceutical, biopharmaceutical, device, and diagnostics industries. Articles should focus on the development of novel statistical methods, novel applications of current methods, or the innovative application of statistical principles that can be used by statistical practitioners in these disciplines. Areas of application may include statistical methods for drug discovery, including papers that address issues of multiplicity, sequential trials, adaptive designs, etc.; preclinical and clinical studies; genomics and proteomics; bioassay; biomarkers and surrogate markers; models and analyses of drug history, including pharmacoeconomics, product life cycle, detection of adverse events in clinical studies, and postmarketing risk assessment; regulatory guidelines, including issues of standardization of terminology (e.g., CDISC), tolerance and specification limits related to pharmaceutical practice, and novel methods of drug approval; and detection of adverse events in clinical and toxicological studies. Tutorial articles also are welcome.

Metrics from SCImago Journal Rank 2025. View on SCImago