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Using Informative Prior from Meta-Analysis in Bayesian Approach
Volume 15, Issue 4 (2017), pp. 575–588
Esin AVCI  

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https://doi.org/10.6339/JDS.201710_15(4).00001
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

In a Bayesian approach, uncertainty explained by a prior distribution that contains information about an uncertain parameter. Determination of the prior distribution is important in because it impacts the posterior inference. The objective of this study is to use metaanalysis for proportion to obtain prior information about patients with breast cancer stage I who undergoing modified radical mastectomy treatment and applied Bayesian approach. R and WinBUGS programs are performed for meta-analysis and Bayesian approach respectively.

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Keywords
informative prior binomial pooled proportion

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Journal of data science

  • Online ISSN: 1683-8602
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