Advances in Mathematical Biosciences

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Life Sciences".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 352

Special Issue Editor

1. Department of Clinical Research, University of Southern Denmark, 5230 Odense, Denmark
2. OPEN (Open Patient Data Explorative Network), Odense University Hospital, 5000 Odense, Denmark
Interests: Statistical methods in clinical research and epidemiology with a focus on risk scores and Bayesian inference
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, mathematical and statistical methods have increased greatly in importance in health and biomedical research. There are two main approaches to mathematically infer knowledge about unknown quantities from observed data. The most common approach in current biomedical research is frequentist statistics, in which observations are evaluated with respect to their compatibility with pre-specified hypotheses on the values of unknown quantities. The other approach, historically founded in the works of Bayes and Laplace in the 1700s but now rising to renewed prominence due to computational and methodological developments, is Bayesian statistics, in which observations are used to update a priori assumed distributions of probable values of unobserved quantities.

In many respects, these two approaches show a striking symmetry, answering similar questions by different probabilistic concepts. On the other hand the abstract philosophical interpretation of these two paradigms of probability theory can be seen as explicitly anti-symmetric in reversing the assumed causal role between unobserved quantities and observations. This apparent conflict is of great interest, not only from a purely mathematical standpoint, but also as it greatly influences the interpretation of biomedical research results, and hence it can directly impact decisions on both individual treatments as well as public health.

Hence, this Special Issue is soliciting contributions, including original research papers, reviews, and commentaries, on current mathematical developments of both Bayesian and frequentist inference, their interplay, and their impacts on applied health and biomedical research.

Dr. Sören Möller
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Bayesian statistics
  • frequentist statistics
  • biostatistics
  • inference

Published Papers

There is no accepted submissions to this special issue at this moment.
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