Research Article
Year 2020,
Volume: 6 Issue: 2, 212 - 219, 31.08.2020
Abstract
Supporting Institution
İnönü Üniversitesi Tıp Fakültesi Biyoistatistik ve Tıp Bilişimi Anabilim Dalı
References
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- Altuntas, M. Bayesian Approaches in Statistical Model Selection and Bayes Factor. Master Thesis. TC Sinop University Institute of Science, Sinop, 2011
- Ashby, D. & A. F. Smith Evidence‐based medicine as Bayesian decision‐making. Statistics in medicine, 2000; 19: 3291-3305.
- 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.
- Berger, J. The case for objective Bayesian analysis. Bayesian analysis, 2006; 1: 385-402.
- Bolstad, W. Introduction to Bayesian Statistics Second Edition, A John Wiley & Sons. Inc., New York, 2007
- Cengiz, M., Y. Terzi & B. Yuksel A Bayesian approach in detecting vascular occlusion. Journal of Experimental and Clinical Medicine, 2009; 21.
- 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.
- 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.
- 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.
- Demirhan, H. Bayesian estimation of parameters and expected cell frequencies in logarithmic linear models.Master of Science Thesis. Hacettepe University, 2004
- Gelfand, A. E., S. E. Hills, A. Racine-Poon & A. F. Smith Illustration of Bayesian inference in normal data models using Gibbs sampling. Journal of the American Statistical Association, 1990; 85: 972-985.
- Gilks, W., S. Richardson & D. Spiegelhalter. Markov chain Monte Carlo in practice. 1995. Chapman and Hall/CRC.
- Ibrahim, J. G., M. H. Chen & D. Sinha Bayesian Survival Analysis. Wiley StatsRef: Statistics Reference Online, 2014
- Jeffreys, H.. The theory of probability. OUP Oxford, 1998
- Kass, R. E. & L. Wasserman Formal rules for selecting prior distributions: A review and annotated bibliography. Journal of the American Statistical Association, 1996; 435: 1343-1370.
- Minitab, I. MINITAB statistical software. Minitab Release, 13, 0., 2000
- Morey, R. D., J. N. Rouder, T. Jamil & M. R. D. Morey Package ‘bayesfactor’; 2015. URLh http://cran/r-projectorg/web/packages/BayesFactor/BayesFactor pdf i (accessed 1006 15).
- Press, S. J. Bayesian statistics: principles, models, and applications. John Wiley & Sons Inc., 1989.
- Spss, I. IBM SPSS statistics 22. New York: IBM Corp., 2013
- StataCorp, L. Stata data analysis and statistical Software. Special Edition Release, 2007;10: 733.
- Team, J. JASP (Version 0.9)., 2018; Computer software. https://jasp-stats. org.
- Wong, M., K. Lam & E. Lo Bayesian analysis of clustered interval-censored data. Journal of dental research, 2005;84: 817-821.
- Yin, G. & J. G. Ibrahim. Bayesian transformation hazard models. In Optimality, 2006; 170-182. Institute of Mathematical Statistics.
Year 2020,
Volume: 6 Issue: 2, 212 - 219, 31.08.2020
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.
References
- Akar, M. & S. Gundogdu. Use of Bayes theory in seafood. Journal of FisheriesSciences. com, 2014; 8: 8-16.
- Altuntas, M. Bayesian Approaches in Statistical Model Selection and Bayes Factor. Master Thesis. TC Sinop University Institute of Science, Sinop, 2011
- Ashby, D. & A. F. Smith Evidence‐based medicine as Bayesian decision‐making. Statistics in medicine, 2000; 19: 3291-3305.
- 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.
- Berger, J. The case for objective Bayesian analysis. Bayesian analysis, 2006; 1: 385-402.
- Bolstad, W. Introduction to Bayesian Statistics Second Edition, A John Wiley & Sons. Inc., New York, 2007
- Cengiz, M., Y. Terzi & B. Yuksel A Bayesian approach in detecting vascular occlusion. Journal of Experimental and Clinical Medicine, 2009; 21.
- 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.
- 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.
- 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.
- Demirhan, H. Bayesian estimation of parameters and expected cell frequencies in logarithmic linear models.Master of Science Thesis. Hacettepe University, 2004
- Gelfand, A. E., S. E. Hills, A. Racine-Poon & A. F. Smith Illustration of Bayesian inference in normal data models using Gibbs sampling. Journal of the American Statistical Association, 1990; 85: 972-985.
- Gilks, W., S. Richardson & D. Spiegelhalter. Markov chain Monte Carlo in practice. 1995. Chapman and Hall/CRC.
- Ibrahim, J. G., M. H. Chen & D. Sinha Bayesian Survival Analysis. Wiley StatsRef: Statistics Reference Online, 2014
- Jeffreys, H.. The theory of probability. OUP Oxford, 1998
- Kass, R. E. & L. Wasserman Formal rules for selecting prior distributions: A review and annotated bibliography. Journal of the American Statistical Association, 1996; 435: 1343-1370.
- Minitab, I. MINITAB statistical software. Minitab Release, 13, 0., 2000
- Morey, R. D., J. N. Rouder, T. Jamil & M. R. D. Morey Package ‘bayesfactor’; 2015. URLh http://cran/r-projectorg/web/packages/BayesFactor/BayesFactor pdf i (accessed 1006 15).
- Press, S. J. Bayesian statistics: principles, models, and applications. John Wiley & Sons Inc., 1989.
- Spss, I. IBM SPSS statistics 22. New York: IBM Corp., 2013
- StataCorp, L. Stata data analysis and statistical Software. Special Edition Release, 2007;10: 733.
- Team, J. JASP (Version 0.9)., 2018; Computer software. https://jasp-stats. org.
- Wong, M., K. Lam & E. Lo Bayesian analysis of clustered interval-censored data. Journal of dental research, 2005;84: 817-821.
- Yin, G. & J. G. Ibrahim. Bayesian transformation hazard models. In Optimality, 2006; 170-182. Institute of Mathematical Statistics.
There are 24 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Health Care Administration |
| Journal Section | Case reports |
| Authors | |
| Publication Date | August 31, 2020 |
| Published in Issue | Year 2020 Volume: 6 Issue: 2 |
e-ISSN 2149-7796