About the Journal

Journal of Biomedical Analytics is a peer-reviewed open access electronic journal in biostatistics, public health, and biomedical sciences. The journal publishes original contributions in novel applications of statistical methods and insightful visualization techniques for making sense of data. The journal aims for faster publication following a double-blind rigorous peer review process with an expected initial review within two weeks.

The J of Biomed Analytics is published by the Biomedical Research Foundation, Bangladesh (www.brfbd.org)

Purpose

The collection and use of massive amount of data have never been felt before as it is today. From an individual to large corporations and everyone in between are generating data at a tremendous pace. One thing is sure-- the scope and pace of collection of data will only grow as we look to the future. Statistics gives life to data. Statistical techniques are essential tools for making data-driven decisions in all the aspects of life-- from testing the efficacy of a new drug to understanding the changes in social dynamics. The motivation of this journal is to demonstrate and make it accessible to practitioners the role data analytics and visualizations play in knowledge discoveries and how it paves the way to understand the future and the uncertainties that surround it.

The Journal of Biomedical Analytics will become an archive of myriad examples of data analytics through statistical techniques and innovative data visualizations both from within and outside of the academic realm. The journal acts as a communication platform for practitioners from a wide range of scientific disciplines. This includes data scientists, data engineers, quantitative analysts, biostatisticians, social scientists, communication analysts, financial analysts, business analysts and the like.

Focus and Scope

Journal of Biomedical Analytics features original contributions in applications of statistical methods in solving problems arising in biomedical disciplines. Statistical applications must be central to the paper and must outline how the subject-specific experts or users will be benefitted by the analysis presented in the paper using an established or new statistical method. Analyses of datasets adapting commonly used statistical tools are welcome so long the data are new to the discipline or they reveal interesting details of existing results. Papers focusing only on developing purely theoretical statistical methods are not generally within the scope of this journal unless they clearly demonstrate specific or potential areas of applications. Articles demonstrating the development of novel methods that are driven by empirical data analysis problems are encouraged. Unless there is a proper justification, motivating or application examples need to come from everyday data analysis issues, not solely from a hypothetical simulation study.

A range of interdisciplinary topics is covered in this journal. Articles from all areas of natural, social, and mathematical sciences are considered for publication as long as their focus or inspiration is mainly of applied nature. Specifically, the journal welcomes original papers, clinical case reports. book reviews, short communications, review of published articles, statistical software reviews, and rigorous tutorial articles on statistical concepts with practical examples in one or more of the following disciplines:

  • Biostatistics
  • Public Health and Epidemiology
  • Bioinformatics
  • Big data in healthcare
  • Artificial Intelligence and Machine Learning
  • Pharmacy and related disciplines
  • Applied Mathematics
  • Neurosciences and related disciplines
  • Operations Research 

Publication Type and Frequency

  • Peer-reviewed, open access, online publication.
  • One volume per year consisting of two issues-- January (No 1) and July (No 2).
  • Articles are published as soon as they are accepted and formatted as per style.

Publication fees

The journal has a scholarly focus and there are no article processing charges.  There are no article submission charges. 

Editorial Policy

The journal aims at publishing articles illustrating novel applications of statistical techniques to solve real-life problems. Methods papers with demonstrated or potential applications are also considered. For applied works, the journal considers rigorousness of the research, not just the significance that it brings. That is, the journal could accept findings where null hypothesis could not be rejected. Also, secondary analysis validating new research results may be considered eligible.

All articles submitted to Journal of Biomedical Analytics will follow a double-blinded rigorous peer review process.

  • An article is first screened by an Editor/Editor-in-Chief within one week of submission.
  • If the article meets the scope and standard of Journal of Biomedical Analytics, it will be assigned to at least two referees for review.
  • Normally, submitted paper will be reviewed within 6 weeks after initial screening (total of 8-12 weeks from submission).
  • Authors may recommend potential reviewers, however, Editors have the final discretion on their considerations.
  • Editor/Editor-in-Chief will make a decision on an article based on the reviewers' comments - as one of the three states:
  • a) Accept to publish with or without minor revisions.
  • b) Accept to publish with major revisions - authors will be advised to revise the manuscript to address the reviewers’ concerns. Revised paper will be re-reviewed, and a final decision will be made after evaluating how the reviewers’ concerns have been addressed.
  • c) Reject.

Proofreading

When proofs need to be exchanged, they will be sent and received via e-mail. Authors need to comply with change requests within the dates specified in that email.

Language

All text should be in English. For faster processing of the peer-review, authors are strongly encouraged to check the manuscript for correct American English usage.

Publication Ethics Statements

Please read it here.

Human Subject Research

All manuscripts based on data from humn subjects must include a statement that a clearance has been obtained from an appropriate Institutional Review Board (IRB) or Ethical Review Board (ERB).