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<Articles JournalTitle="Journal of Biostatistics and Epidemiology">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Journal of Biostatistics and Epidemiology</JournalTitle>
      <Issn>2383-4196</Issn>
      <Volume>1</Volume>
      <Issue>1/2</Issue>
      <PubDate PubStatus="epublish">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>19</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Bayesian   modeling   for   multivariate   randomized   incomplete   block   design:application in sperm biology researches</title>
    <FirstPage>45</FirstPage>
    <LastPage>58</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Abbas</FirstName>
        <LastName>Rahimi-Feroushani</LastName>
        <affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Mohammad</FirstName>
        <LastName>Chehrazi</LastName>
        <affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran AND Department  of Epidemiology  and Reproductive  Health, Reproductive  Epidemiology  Research  Center, Royan Institute, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Keramat</FirstName>
        <LastName>Nourijelyani</LastName>
        <affiliation locale="en_US">Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Reza</FirstName>
        <LastName>Omani-Samani</LastName>
        <affiliation locale="en_US">Department  of  Epidemiology  and  Reproductive  Health,  Reproductive  Epidemiology  Research  Center,  Royan  Institute, Tehran, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>13</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Background &amp; Aim: The aim of the current study was to investigate the advantages of Bayesian method in comparison to traditional methods to detect best antioxidant in Freezing of human male&#xA0;gametes.
Methods &amp; Materials: Semen samples were obtained from 40 men whose sperm had normal&#xA0;criteria. A part of each sample was separated without antioxidant as fresh and the remaining was&#xA0;freezed with and without antioxidant. Taurine (in concentrations of 25 mm and50mm) and cysteine&#xA0;(5mm and10mm) as antioxidants were prepared as intervention. Traditional results were obtained&#xA0;from randomized incomplete block design and compared with Bayesian results in their ability to&#xA0;find the significant difference among our groups. Using Markov chain Monte Carlo algorithm within&#xA0;the WinBUGS software, we developed a Bayesian approach to estimate the protective effect of&#xA0;antioxidant against inverse effect of freezing on the quality of sperm.
Results: Classic method could detect the significant difference just in cycteine10mm for viability&#xA0;which was confirmed by Bayesian method. In Bayesian method, in addition to results from classic&#xA0;method, we could find the significant improvement in abnormality: cysteine 10mm, protamin&#xA0;deficiency: taurine 25 mm and10 mm, viability: cysteine 10mm, DNA fragmentation: cysteine 10mm&#xA0;which all of them was interested in clinically, but could not be proved by the traditional methods.
Conclusion: Bayesian approach in sperm biology research can be considered as a good replacement&#xA0;of the traditional methods for estimation. Using this method, we can solve complex and intractable&#xA0;statistical models. Future researches should be done to confirm our suggestion.</abstract>
    <web_url>https://jbe.tums.ac.ir/index.php/jbe/article/view/15</web_url>
    <pdf_url>https://jbe.tums.ac.ir/index.php/jbe/article/download/15/23</pdf_url>
  </Article>
</Articles>
