About the Journal

Aims and Scope

Pioneer Journal of Biostatistics and Medical Research (Pioneer J Biostat Med Res) is one of the first specialized journals dedicated exclusively to advancing the fields of biostatistics, medical statistics, and their real-world applications in healthcare and public health research. Pioneer J Biostat Med Res, published quarterly, strives to connect advanced statistical methodology with practical application in clinical and epidemiological studies.

Our mission is to promote the use of innovative, purpose-driven statistical approaches that enhance the validity, reliability, and reproducibility of research findings. We invite contributions that explore statistical theory and demonstrate its application to solve pressing medical and public health problems.

Description

Journal Information for Readers, Authors, and Reviewers

The Pioneer J Biostat Med Res is an open-access, peer-reviewed journal that publishes high-quality research in the fields of biostatistics, medical research, epidemiology, and public health. Our journal aims to provide a platform for the dissemination of original research, systematic reviews, meta-analyses, clinical trials, and methodological advancements in biostatistics and related areas.

Open Access Policy:
Pioneer J Biostat Med Res follows an open-access model, meaning that all articles published in the journal are freely accessible to readers worldwide, ensuring wide dissemination and impact. Authors retain copyright over their work and are encouraged to share their findings with the global research community.

Focus and Scope:
The journal focuses on advancing knowledge and practice in biostatistics, medical research, epidemiology, and public health. Topics of interest include statistical methods, health data analysis, disease modeling, public health interventions, and other areas where biostatistics plays a critical role in understanding health issues.

Copyright Notice:
Articles published in Pioneer J Biostat Med Res are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing others to remix, adapt, and build upon the work, even for commercial purposes, with appropriate credit given to the original author(s).

Sponsorship Disclosure:
The publisher (Medical Research and Statistical Consultancy Training Centre (MRSCTC)) supports the journal, and if there is any sponsorship or funding, it will be disclosed in each article.

History of the Journal:
Pioneer J Biostat Med Res was established to address the growing need for a dedicated platform for biostatistics and medical research publications. Since its inception, the journal has strived to maintain high standards of academic integrity and scientific rigor. The journal continues to expand its influence globally, contributing significantly to the field of biostatistics and medical research.

Privacy Statement:
Pioneer J Biostat Med Res values the privacy of its authors, reviewers, and readers. All personal information collected during the submission and review process is kept confidential and used solely for the purpose of managing the publication process. Our privacy practices are in compliance with international standards and regulations.

Archival Systems:
Articles published in Pioneer J Biostat Med Res are included in the LOCKSS (Lots of Copies Keep Stuff Safe) and CLOCKSS (Controlled Lots of Copies Keep Stuff Safe) archival systems, ensuring long-term accessibility and preservation of content. These systems provide secure, distributed archiving to guarantee that published research remains available for future generations.

What We Publish

Pioneer J Biostat Med Res welcomes a diverse range of high-quality submissions, including but not limited to:

  • Editorials and Guest Editorials

  • Original Research Articles
    (e.g., cross-sectional studies, case-control studies, quasi-experimental studies, randomized controlled trials)

  • Review Articles

  • Systematic Reviews and Meta-Analyses

  • Short Communications and Technical Notes

  • Case Reports and Case Series

  • Statistical Methodology Papers with applied medical relevance

  • Letters to the Editor and Commentaries

We especially encourage submissions that integrate cutting-edge statistical tools (e.g., AI, Bayesian methods, machine learning, causal inference) with clinical or epidemiological insights to inform decision-making in health sciences.