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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">140407</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201610_14(4).0007</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A Brief Note on the Simulation of Survival Data with A Desired Percentage of  Right-Censored Datas</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Martinez</surname>
            <given-names>Edson Zangiacomi</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Ribeir~ao Preto Medical School, University of S~ao Paulo, Brazil</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Achcar</surname>
            <given-names>Jorge Alberto</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Ribeir~ao Preto Medical School, University of S~ao Paulo, Brazil</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Peres</surname>
            <given-names>Marcos Vinicius de Oliveira</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Statistics, State University of Maringa, Brazil</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Queiroz</surname>
            <given-names>Jose Andre Mota de</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Department of Statistics, State University of Maringa, Brazil</aff>
      </contrib-group>
      <volume>14</volume>
      <issue>4</issue>
      <fpage>701</fpage>
      <lpage>712</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: Simulation studies are important statistical tools used to inves-tigate the performance, properties and adequacy of statistical models. The simulation of right censored time-to-event data involves the generation of two independent survival distributions, where the rst distribution repre-sents the uncensored survival times and the second distribution represents the censoring mechanism. In this brief report we discuss how we can make it so that the percentage of censored data is previously de ned. The described method was used to generate data from a Weibull distribution, but it can be adapted to any other lifetime distribution. We further presented an R code function for generating random samples, considering the proposed approach.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Censored data</kwd>
        <kwd>simulation</kwd>
        <kwd>survival analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
