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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">214</article-id>
	  <article-id pub-id-type="doi">10.6339/JDS.201710_15(4).00001</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Using Informative Prior from Meta-Analysis in Bayesian Approach</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>AVCI</surname>
            <given-names>Esin</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Faculty of Art and Science, Department of Statistics, Giresun University, Giresun, Turkey</aff>
      </contrib-group>
      <volume>15</volume>
      <issue>4</issue>
      <fpage>575</fpage>
      <lpage>588</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>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.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>informative prior</kwd>
        <kwd>binomial</kwd>
        <kwd>pooled proportion</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
