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  <titleInfo>
    <title>Design and analysis of experiments in the health sciences</title>
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  <name type="personal">
    <namePart>Van Belle, Gerald.</namePart>
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  <name type="personal">
    <namePart>Kerr, Kathleen F.</namePart>
    <namePart type="date">1970-</namePart>
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    <publisher>Wiley</publisher>
    <dateIssued>2012</dateIssued>
    <edition>1st ed.</edition>
    <issuance>monographic</issuance>
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  <abstract>"This volume provides technical professionals and students with three uniquely integrative enhancements to the study of predictive modeling not typically found in data-mining books: an applied approach, immediate practice using Microsoft Excel, and easy-to-use access to multiple online model-building tools. Since actual datasets are employed, users deal with real-life modeling issues and situations such as handling missing values, applying variable transformations, and addressing outliers, among others. An easy-to-learn Microsoft Excel add-in (Predictive MinerXL) and all applicable datasets are available for free on an associated Web site"--</abstract>
  <tableOfContents>Design and Analysis of Experiments in the Health Sciences; Contents; Preface; 1 The Basics; 1.1 Four Basic Questions; 1.2 Variation; 1.3 Principles of Design and Analysis; 1.4 Experiments and Observational Studies; 1.5 Illustrative Applications of Principles; 1.6 Experiments in the Health Sciences; 1.7 Adaptive Allocation; 1.7.1 Equidistribution; 1.7.2 Adaptive Allocation Techniques; 1.8 Sample Size Calculations; 1.9 Statistical Models for the Data; 1.10 Analysis and Presentation; 1.10.1 Graph the Data in Several Ways; 1.10.2 Assess Assumptions of the Statistical Model.</tableOfContents>
  <note type="statement of responsibility">Gerald van Belle, Kathleen F. Kerr.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Medical informatics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Medical sciences</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Experimental design</topic>
  </subject>
  <subject authority="mesh">
    <topic>Research Design</topic>
  </subject>
  <subject authority="mesh">
    <topic>Statistics as Topic</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS</topic>
    <topic>Probability &amp; Statistics</topic>
    <topic>General</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MEDICAL</topic>
    <topic>Biostatistics</topic>
  </subject>
  <subject authority="fast">
    <topic>Experimental design</topic>
  </subject>
  <subject authority="fast">
    <topic>Medical informatics</topic>
  </subject>
  <subject authority="fast">
    <topic>Medical sciences</topic>
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="lcc">R858 .V36 2012eb</classification>
  <classification authority="ddc" edition="23">610.72/7</classification>
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