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  <titleInfo>
    <title>Missing data analysis in practice</title>
  </titleInfo>
  <name type="personal">
    <namePart>Raghunathan, Trivellore</namePart>
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    <dateIssued encoding="marc">2016</dateIssued>
    <copyrightDate encoding="marc">2016</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online resource</extent>
  </physicalDescription>
  <tableOfContents>1. Basic concepts -- 2. Weighting methods -- 3. Imputation -- 4. Multiple imputation -- 5. Regression analysis -- 6. Longitudinal analysis with missing values -- 7. Nonignorable missing data mechanisms -- 8. Other applications -- 9. Other topics.</tableOfContents>
  <note type="statement of responsibility">Trivellore Raghunathan, University of Michigan, Ann Arbor, Michigan, USA.</note>
  <note>A Chapman and Hall book--title page.</note>
  <subject authority="lcsh">
    <topic>Missing observations (Statistics)</topic>
  </subject>
  <classification authority="lcc">QA276 .R34 2016</classification>
  <classification authority="ddc">519.5 R142</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Interdisciplinary statistics</title>
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  <identifier type="isbn">9780429171673</identifier>
  <identifier type="uri">https://www.taylorfrancis.com/books/9781482211931</identifier>
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    <url>https://www.taylorfrancis.com/books/9781482211931</url>
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