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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">040303</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.2006.04(3).267
</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>An Evaluation of Multiple Behavioral Risk Factors for Cancer in a Working Class, Multi-Ethnic Population</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Goodman</surname>
            <given-names>Melody S.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Harvard School of Public Health</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Li</surname>
            <given-names>Yi</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">1Harvard School of Public Health 
2Dana Farber Cancer Institute</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Bennett</surname>
            <given-names>Gary G.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">1Harvard School of Public Health 
2Dana Farber Cancer Institute</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Stoddard</surname>
            <given-names>Anne M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">New England Research Institute</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Emmons</surname>
            <given-names>Karen M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_004"/>
        </contrib>
        <aff id="j_JDS_aff_004">1Harvard School of Public Health 
2Dana Farber Cancer Institute</aff>
      </contrib-group>
      <volume>4</volume>
      <issue>3</issue>
      <fpage>291</fpage>
      <lpage>306</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: Behavioral risk factors for cancer tend to cluster within individuals, which can compound risk beyond that associated with the individual risk factors alone. There has been increasing attention paid to the prevalence of multiple risk factors (MRF) for cancer, and to the importance of designing interventions that help individuals reduce their risks across multiple behaviors simultaneously. The purpose of this paper is to develop methodology to identify an optimal linear combination of multiple risk factors (score function) which would facilitate evaluation of cancer interventions.</p>
      </abstract>
    </article-meta>
  </front>
</article>
