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Applied Bayesian Data Analysis in Exercise and Health Research

This special issue belongs to the section “Public Health Statistics and Risk Assessment“.

Special Issue Information

Dear Colleagues,

Bayesian data analysis is already a well-established method of statistical inference in many different fields of science such as psychology, ecology, economy or medicine. The increasing power of computers and the development of multiple programming languages specially designed to specify statistical models have allowed researchers to use Bayesian methods to analyze their data. Briefly, this methodology uses Bayes’ theorem to compute and update probabilities after observing new data.

There are several benefits that can be obtained using this method of statistical inference, highlighting among them the use of prior information within the model when estimating parameters of interest. However, performing statistical inference to draw conclusions from the data is complicated in general and using Bayesian methods in particular. Several steps must be carried out to ensure that the results obtained are correct and their interpretation in adequate.

Therefore, this Special Issue of the International Journal of Environmental Research and Public Health (IJERPH) will accept manuscripts on exercise and health that apply a proper Bayesian workflow analysis, specifying correctly prior distributions, the statistical model fitted, and model and predictive checking regardless of the study design (e.g., longitudinal, randomized control trials or meta-analysis). We believe that all exercise and health scientists can benefit from having a Special Issue where proper Bayesian data analysis is performed.

Prof. Dr. Jorge del Rosario Fernández Santos
Prof. Dr. Jose Luis Gonzalez Montesinos
Prof. Dr. Jesús Gustavo Ponce González
Prof. Dr. Cristina Casals
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. International Journal of Environmental Research and Public Health 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 2500 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
  • statistical inference
  • data analysis
  • exercise science
  • health research

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Int. J. Environ. Res. Public Health - ISSN 1660-4601