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  <titleInfo>
    <title>Analysis of Epidemiologic Data Using R</title>
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    <namePart>Hirsch, Robert.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>X, 109 p. 76 illus., 29 illus. in color. online resource.</extent>
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  <abstract>This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.</abstract>
  <tableOfContents>Introduction to R -- Measures of Disease Frequency -- Measures of Association -- 2x2 Tables -- Life Tables -- Control of Confounding.</tableOfContents>
  <note type="statement of responsibility">by Robert Hirsch.</note>
  <subject authority="lcsh">
    <topic>Biometry</topic>
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  <subject authority="lcsh">
    <topic>Statistics </topic>
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  <subject authority="lcsh">
    <topic>Epidemiology</topic>
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  <subject authority="lcsh">
    <topic>Medical sciences</topic>
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    <topic>Public health</topic>
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  <subject authority="lcsh">
    <topic>Statistics</topic>
    <topic>Computer programs</topic>
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  <subject>
    <topic>Biostatistics</topic>
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  <subject>
    <topic>Applied Statistics</topic>
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  <subject>
    <topic>Epidemiology</topic>
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  <subject>
    <topic>Health Sciences</topic>
  </subject>
  <subject>
    <topic>Public Health</topic>
  </subject>
  <subject>
    <topic>Statistical Software</topic>
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      <title>Synthesis Lectures on Mathematics &amp; Statistics</title>
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  <identifier type="isbn">9783031419140</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-41914-0</identifier>
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