Research Article

A Web-Based Software Developed for Bayesian Tests and an Application in Medicine

Volume: 6 Number: 2 August 31, 2020
EN

A Web-Based Software Developed for Bayesian Tests and an Application in Medicine

Abstract

Objective: In this study, it is aimed to develop a new user-friendly web-based software to easily carry out Bayesian tests, which are becoming more and more common, instead of using the classical approach, which is generally preferred in analysis from statistical modeling. Method: Shiny, an open-source R package, is used to develop the recommended web software. In the developed software, by selecting “the Specify Sample Number” tab, the number of samples presented as “Single”, “Two” options is selected, and analyzes are made by selecting the appropriate data set from the file upload menu. Results: The data set “ulcer recurrence” was used to examine the way the developed web-based software works and to evaluate its output. To test whether there is a difference in age variable in terms of result variable, “Two Independent Sample Bayes Tests” were selected and analyzes were performed. According to the results obtained, statistically “little evidence for Ho” was found for the age variable in terms of the result variable. With the evidence obtained, it is said that no statistically significant difference was obtained for the dependent variable according to the independent variable. Conclusion: The developed software is a new user-friendly web-based software that can be used to easily use Bayesian tests used as an alternative to the classical approach.

Keywords

Bayesian approach, Bayesian tests, Classical approach, Web-based software

Supporting Institution

İnönü Üniversitesi Tıp Fakültesi Biyoistatistik ve Tıp Bilişimi Anabilim Dalı

References

  1. Akar, M. & S. Gundogdu. Use of Bayes theory in seafood. Journal of FisheriesSciences. com, 2014; 8: 8-16.
  2. Altuntas, M. Bayesian Approaches in Statistical Model Selection and Bayes Factor. Master Thesis. TC Sinop University Institute of Science, Sinop, 2011
  3. Ashby, D. & A. F. Smith Evidence‐based medicine as Bayesian decision‐making. Statistics in medicine, 2000; 19: 3291-3305.
  4. Berg, B. A. Introduction to Markov chain Monte Carlo simulations and their statistical analysis. Markov Chain Monte Carlo Lect Notes Ser Inst Math Sci Natl Univ Singap, 2005; 7: 1-52.
  5. Berger, J. The case for objective Bayesian analysis. Bayesian analysis, 2006; 1: 385-402.
  6. Bolstad, W. Introduction to Bayesian Statistics Second Edition, A John Wiley & Sons. Inc., New York, 2007
  7. Cengiz, M., Y. Terzi & B. Yuksel A Bayesian approach in detecting vascular occlusion. Journal of Experimental and Clinical Medicine, 2009; 21.
  8. Cengiz, M. A., E. Terzi, T. Senel & N. Murat A bayesian approach to parameter estimation in logistic regression. Afyon Kocatepe University Journal of Science and Engineering Sciences, 2012; 12: 15-22.
  9. Chang, W., J. Cheng, J. Allaire, Y. Xie & J. McPherson shiny: Web Application Framework for R; 2016. R package version 0.13. 2. URL: http://CRAN. R-project. org/package= shiny.
  10. Congdon, P. Bayesian statistical modelling. John Wiley & Sons, 2007 Demirci, M. Bayes Theorem and its applications in business administration. The Journal of Academic Social Science Studies, 2016; 43: 439-462.
APA
Balıkçı Çiçek, İ., Yaşar, Ş., Tunç, Z., & Çolak, C. (2020). A Web-Based Software Developed for Bayesian Tests and an Application in Medicine. Middle Black Sea Journal of Health Science, 6(2), 212-219. https://doi.org/10.19127/mbsjohs.752102
AMA
1.Balıkçı Çiçek İ, Yaşar Ş, Tunç Z, Çolak C. A Web-Based Software Developed for Bayesian Tests and an Application in Medicine. Mid Blac Sea J Health Sci. 2020;6(2):212-219. doi:10.19127/mbsjohs.752102
Chicago
Balıkçı Çiçek, İpek, Şeyma Yaşar, Zeynep Tunç, and Cemil Çolak. 2020. “A Web-Based Software Developed for Bayesian Tests and an Application in Medicine”. Middle Black Sea Journal of Health Science 6 (2): 212-19. https://doi.org/10.19127/mbsjohs.752102.
EndNote
Balıkçı Çiçek İ, Yaşar Ş, Tunç Z, Çolak C (August 1, 2020) A Web-Based Software Developed for Bayesian Tests and an Application in Medicine. Middle Black Sea Journal of Health Science 6 2 212–219.
IEEE
[1]İ. Balıkçı Çiçek, Ş. Yaşar, Z. Tunç, and C. Çolak, “A Web-Based Software Developed for Bayesian Tests and an Application in Medicine”, Mid Blac Sea J Health Sci, vol. 6, no. 2, pp. 212–219, Aug. 2020, doi: 10.19127/mbsjohs.752102.
ISNAD
Balıkçı Çiçek, İpek - Yaşar, Şeyma - Tunç, Zeynep - Çolak, Cemil. “A Web-Based Software Developed for Bayesian Tests and an Application in Medicine”. Middle Black Sea Journal of Health Science 6/2 (August 1, 2020): 212-219. https://doi.org/10.19127/mbsjohs.752102.
JAMA
1.Balıkçı Çiçek İ, Yaşar Ş, Tunç Z, Çolak C. A Web-Based Software Developed for Bayesian Tests and an Application in Medicine. Mid Blac Sea J Health Sci. 2020;6:212–219.
MLA
Balıkçı Çiçek, İpek, et al. “A Web-Based Software Developed for Bayesian Tests and an Application in Medicine”. Middle Black Sea Journal of Health Science, vol. 6, no. 2, Aug. 2020, pp. 212-9, doi:10.19127/mbsjohs.752102.
Vancouver
1.İpek Balıkçı Çiçek, Şeyma Yaşar, Zeynep Tunç, Cemil Çolak. A Web-Based Software Developed for Bayesian Tests and an Application in Medicine. Mid Blac Sea J Health Sci. 2020 Aug. 1;6(2):212-9. doi:10.19127/mbsjohs.752102