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Journal Photo for Statistical Methods in Medical Research
Peer reviewed only Open Access

Statistical Methods in Medical Research (SMMR)

Publisher : Sage Publishing
Applied Mathematics General Mathematics Medical Terminology
e-ISSN 1477-0334
p-ISSN 0962-2802
Issue Frequency Bi-Monthly
Impact Factor 1.9
Est. Year 1992
Mobile 1140639222
Language English
APC YES
Email journals@sagepub.com

Journal Descriptions

Statistical Methods in Medical Research is an internationally respected, bimonthly peer‑reviewed journal that has served as a premier platform for medical statistical scholarship since its inception in 1992. Published by SAGE Publications Ltd., its core mission is to disseminate high‑quality research on statistical techniques and tools integral to modern medical investigation. The journal covers a wide range of topics, including design and analysis of clinical trials, survival analysis, longitudinal data methods, multivariate analysis, Bayesian techniques, and advanced inference strategies relevant to health sciences. Both comprehensive review articles and innovative original contributions are featured, ensuring that readers stay informed about foundational methods as well as cutting‑edge developments. The content is accessible to a broad audience, including biostatisticians, quantitative health researchers, clinicians engaged in data‑driven studies, and methodologists interested in bridging theory and practice. Its rigorous peer‑review process and editorial standards promote scientific integrity and relevance, aligning statistical methodology with the real‑world demands of evidence‑based medicine. Over decades, the journal has become an indispensable reference for professionals and academics seeking to apply sound statistical reasoning to improve study design, data interpretation, and healthcare outcomes.

Statistical Methods in Medical Research (SMMR) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Applied Mathematics, General Mathematics, Medical Terminology, Statistics and Probability, longitudinal studies, diagnostic test evaluation, survival analysis, epidemiology, medical statisticians, biostatisticians, epidemiologists, clinical researchers, and health science professionals seeking the latest developments in statistical modeling, inference, study design , Online or Print , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0962-2802, E-ISSN: 1477-0334, Established: 1992, Impact Factor: 1.9
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing