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  <titleInfo>
    <title>Statistical methods for hospital monitoring with R</title>
  </titleInfo>
  <name type="personal">
    <namePart>Morton, Anthony Park</namePart>
    <namePart type="date">1933-</namePart>
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  <name type="personal">
    <namePart>Mengersen, Kerrie L.</namePart>
    <role>
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  <name type="personal">
    <namePart>Playford, Geoffrey</namePart>
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  </name>
  <name type="personal">
    <namePart>Whitby, Michael</namePart>
    <namePart type="date">1950-</namePart>
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  <genre authority="">Electronic books.</genre>
  <genre authority="local">Electronic books.</genre>
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    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
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  <abstract>Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software. This book provides much-needed guidance on data analy.</abstract>
  <tableOfContents>Proportion -- Risk adjustment -- Cusum and related charts for binary data -- Introduction rate and count data -- Introduction, data, limitations of aggregated count data analysis -- Arranging data by weeks, months, quarters -- Multiple antibiotic-resistant organism (MRO) prevalence -- Overview of hospital quality improvement.</tableOfContents>
  <note type="statement of responsibility">Anthony Morton, Kerrie Mengersen, Geoffrey Playford, Michael Whitby.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Hospitals</topic>
    <topic>Administration</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="mesh">
    <topic>Hospital Administration</topic>
  </subject>
  <subject authority="mesh">
    <topic>Statistics as Topic</topic>
  </subject>
  <subject>
    <topic>Efficiency, Organizational</topic>
  </subject>
  <subject>
    <topic>Health services administration</topic>
  </subject>
  <subject>
    <topic>Hospital administration</topic>
  </subject>
  <subject>
    <topic>Statistics as topic</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MEDICAL</topic>
    <topic>Hospital Administration &amp; Care</topic>
  </subject>
  <subject authority="fast">
    <topic>Hospitals</topic>
    <topic>Administration</topic>
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="lcc">RA971</classification>
  <classification authority="ddc" edition="23">362.11068</classification>
  <classification authority="nlm">WX 150.1</classification>
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      <title>Statistical methods for hospital monitoring with R</title>
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      <publisher>Chichester, West Sussex : John Wiley &amp; Sons Inc., 2013</publisher>
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    <identifier type="local">(DLC)  2013008301</identifier>
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    <titleInfo>
      <title>Statistics in practice</title>
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  <identifier type="isbn">9781118639177</identifier>
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  <identifier type="lccn">2013009332</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781118639153</identifier>
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    <recordIdentifier source="OCoLC">ocn910620948</recordIdentifier>
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